{"id":20058648,"url":"https://github.com/roboflow/roboflow-100-benchmark","last_synced_at":"2025-05-16T15:07:25.083Z","repository":{"id":63959890,"uuid":"500884819","full_name":"roboflow/roboflow-100-benchmark","owner":"roboflow","description":"Code for replicating Roboflow 100 benchmark results and programmatically downloading benchmark datasets","archived":false,"fork":false,"pushed_at":"2024-10-26T00:03:32.000Z","size":8692,"stargazers_count":268,"open_issues_count":6,"forks_count":25,"subscribers_count":21,"default_branch":"main","last_synced_at":"2025-05-15T15:59:18.025Z","etag":null,"topics":["computer-vision","dataset","deep-learning","machine-learning","object-detection","pytorch"],"latest_commit_sha":null,"homepage":"https://www.rf100.org","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/roboflow.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.md","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2022-06-07T14:52:55.000Z","updated_at":"2025-04-13T22:01:37.000Z","dependencies_parsed_at":"2024-05-30T21:33:41.489Z","dependency_job_id":"c2b81a12-fa65-4114-88f7-0c74f1414673","html_url":"https://github.com/roboflow/roboflow-100-benchmark","commit_stats":{"total_commits":101,"total_committers":10,"mean_commits":10.1,"dds":0.4554455445544554,"last_synced_commit":"45226420a600bf7fd6eaecb140cd73f5b379f7c3"},"previous_names":[],"tags_count":2,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/roboflow%2Froboflow-100-benchmark","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/roboflow%2Froboflow-100-benchmark/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/roboflow%2Froboflow-100-benchmark/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/roboflow%2Froboflow-100-benchmark/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/roboflow","download_url":"https://codeload.github.com/roboflow/roboflow-100-benchmark/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":254553958,"owners_count":22090417,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["computer-vision","dataset","deep-learning","machine-learning","object-detection","pytorch"],"created_at":"2024-11-13T13:02:44.089Z","updated_at":"2025-05-16T15:07:25.064Z","avatar_url":"https://github.com/roboflow.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"[![Roboflow Blog](https://raw.githubusercontent.com/roboflow-ai/notebooks/main/assets/badges/roboflow-blogpost.svg)](https://blog.roboflow.com/roboflow-100) \n[![Roboflow Notebook](https://raw.githubusercontent.com/roboflow-ai/notebooks/main/assets/badges/roboflow-notebook.svg)](https://github.com/roboflow-ai/notebooks/blob/main/notebooks/how-to-use-rf100.ipynb) \n[![YouTube](https://badges.aleen42.com/src/youtube.svg)](https://youtu.be/jIgZMr-PBMo)\n\n\u003e **Note**\n\u003e RF100 is part of the [CVinW challenge](https://computer-vision-in-the-wild.github.io/cvpr-2023/)!\n\n# Roboflow 100 📸: A Rich, Multi-Domain Object Detection Benchmark\n\n![rf100blog-mosaicthing](https://user-images.githubusercontent.com/15908060/202452898-9ca6b8f7-4805-4e8e-949a-6e080d7b94d2.jpg)\n\nThis repository implements the Roboflow 100 benchmark developed by [Roboflow](https://roboflow.com/). It contains code to download the dataset and reproduce\nmAP values for YOLOv5 and YOLOv7 Fine-Tuning and GLIP Evaluation on 100 of Roboflow Universe\ndatasets.\n\n\n*RF100 was sponsored with ❤️ by [Intel](https://www.intel.com/content/www/us/en/homepage.html)*\n\nRF100 paper is on [arxiv](https://arxiv.org/abs/2211.13523), if you used RF100 in your research, **please consider citing us**\n\n```\n@misc{2211.13523,\nAuthor = {Floriana Ciaglia and Francesco Saverio Zuppichini and Paul Guerrie and Mark McQuade and Jacob Solawetz},\nTitle = {Roboflow 100: A Rich, Multi-Domain Object Detection Benchmark},\nYear = {2022},\nEprint = {arXiv:2211.13523},\n}\n```\n\n## RF100\n\n`RF100` contains the following datasets, carefully chosen from more than 90'000 datasets hosted on our [universe hub](https://universe.roboflow.com/). The datasets are splitted in 7 categories: `Aerial`, `Videogames`, `Microscopic`, `Underwater`, `Documents`, `Electromagnetic` and `Real World`. \n\n\n| Category        | Datasets | Images  | Classes |\n|-----------------|----------|---------|---------|\n| Aerial          | 7        | 9683    | 24      |\n| Videogames      | 7        | 11579   | 88      |\n| Microscopic     | 11       | 13378   | 28      |\n| Underwater      | 5        | 18003   | 39      |\n| Documents       | 8        | 24813   | 90      |\n| Electromagnetic | 12       | 36381   | 41      |\n| Real World      | 50       | 110615  | 495     |\n| **Total**           | **100**      | **224,714** | **805**     |\n\n\n**Note** some datasets failed, only on `88`\n\n| category        |   yolov5 |   yolov7 |   yolov8 |      glip |\n|:----------------|---------:|---------:|---------:|----------:|\n| aerial          | 0.636    | 0.504286 | 0.707286 | 0.0238571 |\n| documents       | 0.716125 | 0.7225   | 0.79775  | 0.018625  |\n| electromagnetic | 0.7423   | 0.639    | 0.7899   | 0.0697    |\n| microscopic     | 0.650727 | 0.59166  | 0.747455 | 0.0230909 |\n| real world      | 0.781659 | 0.705276 | 0.842171 | 0.117049  |\n| underwater      | 0.56     | 0.6624   | 0.7024   | 0.1876    |\n| videogames      | 0.863333 | 0.783167 | 0.881    | 0.1625    |\n| **Total**       | **0.7071**   | **0.6583**   | **0.7811**   | **0.0860**    |\n\n🚨 **Head over the [Appendix](#appendix) at the bottom to see samples from each dataset**\n\nWe provide a [notebook to help you using RF100 with PyTorch](/notebooks/roboflow-100-pytorch.ipynb)\n\n## Getting Started\n\nFirst, clone this repo and go inside it.\n\n```bash\ngit clone https://github.com/roboflow-ai/roboflow-100-benchmark.git\ncd roboflow-100-benchmark\ngit submodule update --init --recursive\n```\n\nYou will need an API key. `RF100` can be accessed with any key from Roboflow, head over [our doc](https://docs.roboflow.com/rest-api) to learn how to get one.\n\nThen, export the key to your current shell\n\n```bash\nexport ROBOFLOW_API_KEY=\u003cYOUR_API_KEY\u003e\n```\n\n**Note**: The datasets are taken from `datasets_links.txt`, you can modify that file to add/remove datasets.\n\n### Docker\n\nThe easiest and faster way to download `RF100` is using [docker](https://docs.docker.com/engine/install/) and our [Dockerfile](Dockerfile.rf100.download).\n\n**NOTE** Be sure to do the [post process steps](https://docs.docker.com/engine/install/linux-postinstall/) after you installed docker, we will read and write to shared volumes so your user should also be in the docker group.\n\nIf you have an NVIDIA GPU, be sure to also install [nvidia docker](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html)\n\nBe sure to have the `ROBOFLOW_API_KEY` in your env, then run it (we are passing our user so you shouldn't have permission errors on `rf100` folder)\n\n```bash\ndocker run --rm -it \\\n    -e ROBOFLOW_API_KEY=$ROBOFLOW_API_KEY \\\n    -v $(pwd)/rf100:/workspace/rf100 \\\n    -v /etc/group:/etc/group:ro \\\n    -u \"$(id -u):$(id -g)\" \\\n    roboflow/rf100-download\n```\n\n`roboflow/rf100-download` is hosted on our [docker hub](https://hub.docker.com/repository/docker/roboflow/rf100-download) \n\nInternally, `RF100` will downloaded to `/app/rf100`. You can also specify the format with the `-f` flag, by default `coco` is used.\n\n```bash\ndocker run --rm -it \\\n    -e ROBOFLOW_API_KEY=$ROBOFLOW_API_KEY \\\n    -v ${PWD}/rf100:/workspace/rf100 \\\n    -v /etc/group:/etc/group:ro \\\n    -u \"$(id -u):$(id -g)\" \\\n    roboflow/rf100-download -f yolov5\n```\n\nIf you want to build the container and not use the image on the hub, run\n\n```bash\ndocker build -t rf100-download -f Dockerfile.rf100.download .\n```\n\n\n### Local Env\n\nTo download `RF100` in your local enviroment (python `\u003e=3.6`), you need to install roboflow\n\n```bash\npip install roboflow\n```\n\nThen,\n\n```bash\nchmod 770 ./scripts/download_datasets.sh\n./scripts/download_datasets.sh\n./scripts/download_datasets.sh -f yolov5 $ change format\n./scripts/download_datasets.sh -l \u003cpath_to_my_location\u003e change download location\n```\n\n### Formats\n\nSupported formats are\n\n- `coco`\n- `yolov5` (used by YOLOv7 as well)\n\n## Reproduce Results\n\nWe will use docker to ensure the same enviroment is used.\n\nFirst, build the container\n\n```\ndocker build -t rf100-benchmark -f Dockerfile.rf100.benchmark .\n```\n\nThen, follow the guide for each model.\n\nAll results are stored inside `./runs`.\n\n\u003e **Warning**\n\u003e The run must be uninterrupted otherwise the downloaded datasets may be unfinished or corrupted\n\n\u003e **Warning**\n\u003e If you have `permission denied` errors, you can either remove `runs` with `sudo rm -rf ./runs` or give permissions to everybody `sudo chmod -R +x ./runs`.\n\n\u003e **Warning**\n\u003e Due to poor code support, random errors and time, we weren't able to run all the models on all datasets. Only 88 datasets were successfully benchmarked on **all** four models\n\n### [YOLOv5](https://github.com/ultralytics/yolov5) Fine-Tuning\n\n**Note**, we will map the current folder to the container file system to persist data\n\n```bash\nmkdir -p runs \u0026\u0026\nnvidia-docker run --gpus all --rm -it --ipc host --network host --shm-size 64g \\\n    -e ROBOFLOW_API_KEY=$ROBOFLOW_API_KEY \\\n    -v ${PWD}/runs:/workspace/runs \\\n    -v ${PWD}/datasets_links_640.txt:/workspace/datasets_links_640.txt \\\n    rf100-benchmark ./yolov5-benchmark/train.sh\n```\n\n### [YOLOv7](https://github.com/WongKinYiu/yolov7) Fine-Tuning\n\n**Note**, we will map the current folder to the container file system to persist data\n\n```bash\nmkdir -p runs \u0026\u0026\nnvidia-docker run --gpus all --rm -d --ipc host --network host --shm-size 64g \\\n    -e ROBOFLOW_API_KEY=$ROBOFLOW_API_KEY \\\n    -v ${PWD}/runs:/workspace/runs \\\n    -v ${PWD}/datasets_links_640.txt:/workspace/datasets_links_640.txt \\\n    rf100-benchmark ./yolov7-benchmark/train.sh\n```\n\n### [YOLOv8](https://github.com/WongKinYiu/yolov7) Fine-Tuning\n\n**Note**, Doc coming soon but we have the results (was done internally by another team member)\n\n**Note** The model failed on these datasets: `bone-fracture-7fylg`, `brain-tumor-m2pbp`, `cable-damage`, `circuit-elements` and `printed-circuit-board`\n\n\n### [GLIP](https://github.com/microsoft/GLIP)\n\n**Note** The model failed on these datasets: `apex-videogame`, `apples-fvpl5`, `hand-gestures-jps7z`, `road-traffic`,\n       `wall-damage`\n\n```bash\nmkdir -p runs \u0026\u0026\nnvidia-docker run --gpus all --rm -it --ipc host --network host --shm-size 64g \\\n    -e ROBOFLOW_API_KEY=$ROBOFLOW_API_KEY \\\n    -v ${PWD}/runs:/workspace/runs \\\n    -v ${PWD}/datasets_links_640.txt:/workspace/datasets_links_640.txt \\\n    rf100-benchmark ./GLIP-benchmark/train.sh\n```\n\n\n\u003e **Note**\n\u003e We create a [notebook](notebooks/zero_shot_analysis.ipynb) to analysis why and where GLIP did bad and good\n\n\n### COCO evaluation\n\nIf you are interesting in only the **test annotations** for `rf100`, e.g. you are using `pycocotools` to compute `maps`, we [have create a zip file](https://drive.google.com/file/d/1f6A1qh2e7wv8U9uu04mhCizfx8i48EfR/view?usp=sharing) with `root/\u003cdataset_name\u003e/\u003ctest_annotations\u003e.json`. We hope this will make it easier for you to evaluate your models. \n## Appendix\n\n## YOLOs Comparison\n\n**Note** 5 datasets failed on `v8`, so the comparison is only on `95`. Check [`v8`](#yolov8-fine-tuning) for more info.\n\n**Note** We only train one seed for each model, take these results with a **grain of salt**\n\nThe following box plots shows `mAP@.50` for each YOLOs model on RF100\n\n\n\u003cimg  width=\"500px\" src=\"doc/images/comparison-yolos-box.png\"/\u003e\n\nThe following bar plots shows `mAP@.50` for each YOLOs model on each RF100 category\n\n\u003cimg  width=\"500px\" src=\"doc/images/comparison-yolos-bar.png\"/\u003e\n\n\n### Samples\n\n| dataset                                                                                                   | category        | samples                                                   |\n|:----------------------------------------------------------------------------------------------------------|:----------------|:----------------------------------------------------------|\n| [hand-gestures-jps7z](https://universe.roboflow.com/roboflow-100/hand-gestures-jps7z)                     | real world      | ![alt](doc/images/grid/hand-gestures-jps7z.jpg)           |\n| [smoke-uvylj](https://universe.roboflow.com/roboflow-100/smoke-uvylj)                                     | real world      | ![alt](doc/images/grid/smoke-uvylj.jpg)                   |\n| [wall-damage](https://universe.roboflow.com/roboflow-100/wall-damage)                                     | real world      | ![alt](doc/images/grid/wall-damage.jpg)                   |\n| [corrosion-bi3q3](https://universe.roboflow.com/roboflow-100/corrosion-bi3q3)                             | real world      | ![alt](doc/images/grid/corrosion-bi3q3.jpg)               |\n| [excavators-czvg9](https://universe.roboflow.com/roboflow-100/excavators-czvg9)                           | real world      | ![alt](doc/images/grid/excavators-czvg9.jpg)              |\n| [chess-pieces-mjzgj](https://universe.roboflow.com/roboflow-100/chess-pieces-mjzgj)                       | real world      | ![alt](doc/images/grid/chess-pieces-mjzgj.jpg)            |\n| [road-signs-6ih4y](https://universe.roboflow.com/roboflow-100/road-signs-6ih4y)                           | real world      | ![alt](doc/images/grid/road-signs-6ih4y.jpg)              |\n| [street-work](https://universe.roboflow.com/roboflow-100/street-work)                                     | real world      | ![alt](doc/images/grid/street-work.jpg)                   |\n| [construction-safety-gsnvb](https://universe.roboflow.com/roboflow-100/construction-safety-gsnvb)         | real world      | ![alt](doc/images/grid/construction-safety-gsnvb.jpg)     |\n| [road-traffic](https://universe.roboflow.com/roboflow-100/road-traffic)                                   | real world      | ![alt](doc/images/grid/road-traffic.jpg)                  |\n| [washroom-rf1fa](https://universe.roboflow.com/roboflow-100/washroom-rf1fa)                               | real world      | ![alt](doc/images/grid/washroom-rf1fa.jpg)                |\n| [circuit-elements](https://universe.roboflow.com/roboflow-100/circuit-elements)                           | real world      | ![alt](doc/images/grid/circuit-elements.jpg)              |\n| [mask-wearing-608pr](https://universe.roboflow.com/roboflow-100/mask-wearing-608pr)                       | real world      | ![alt](doc/images/grid/mask-wearing-608pr.jpg)            |\n| [cables-nl42k](https://universe.roboflow.com/roboflow-100/cables-nl42k)                                   | real world      | ![alt](doc/images/grid/cables-nl42k.jpg)                  |\n| [soda-bottles](https://universe.roboflow.com/roboflow-100/soda-bottles)                                   | real world      | ![alt](doc/images/grid/soda-bottles.jpg)                  |\n| [truck-movement](https://universe.roboflow.com/roboflow-100/truck-movement)                               | real world      | ![alt](doc/images/grid/truck-movement.jpg)                |\n| [wine-labels](https://universe.roboflow.com/roboflow-100/wine-labels)                                     | real world      | ![alt](doc/images/grid/wine-labels.jpg)                   |\n| [digits-t2eg6](https://universe.roboflow.com/roboflow-100/digits-t2eg6)                                   | real world      | ![alt](doc/images/grid/digits-t2eg6.jpg)                  |\n| [vehicles-q0x2v](https://universe.roboflow.com/roboflow-100/vehicles-q0x2v)                               | real world      | ![alt](doc/images/grid/vehicles-q0x2v.jpg)                |\n| [peanuts-sd4kf](https://universe.roboflow.com/roboflow-100/peanuts-sd4kf)                                 | real world      | ![alt](doc/images/grid/peanuts-sd4kf.jpg)                 |\n| [printed-circuit-board](https://universe.roboflow.com/roboflow-100/printed-circuit-board)                 | real world      | ![alt](doc/images/grid/printed-circuit-board.jpg)         |\n| [pests-2xlvx](https://universe.roboflow.com/roboflow-100/pests-2xlvx)                                     | real world      | ![alt](doc/images/grid/pests-2xlvx.jpg)                   |\n| [cavity-rs0uf](https://universe.roboflow.com/roboflow-100/cavity-rs0uf)                                   | real world      | ![alt](doc/images/grid/cavity-rs0uf.jpg)                  |\n| [leaf-disease-nsdsr](https://universe.roboflow.com/roboflow-100/leaf-disease-nsdsr)                       | real world      | ![alt](doc/images/grid/leaf-disease-nsdsr.jpg)            |\n| [marbles](https://universe.roboflow.com/roboflow-100/marbles)                                             | real world      | ![alt](doc/images/grid/marbles.jpg)                       |\n| [pills-sxdht](https://universe.roboflow.com/roboflow-100/pills-sxdht)                                     | real world      | ![alt](doc/images/grid/pills-sxdht.jpg)                   |\n| [poker-cards-cxcvz](https://universe.roboflow.com/roboflow-100/poker-cards-cxcvz)                         | real world      | ![alt](doc/images/grid/poker-cards-cxcvz.jpg)             |\n| [number-ops](https://universe.roboflow.com/roboflow-100/number-ops)                                       | real world      | ![alt](doc/images/grid/number-ops.jpg)                    |\n| [insects-mytwu](https://universe.roboflow.com/roboflow-100/insects-mytwu)                                 | real world      | ![alt](doc/images/grid/insects-mytwu.jpg)                 |\n| [cotton-20xz5](https://universe.roboflow.com/roboflow-100/cotton-20xz5)                                   | real world      | ![alt](doc/images/grid/cotton-20xz5.jpg)                  |\n| [furniture-ngpea](https://universe.roboflow.com/roboflow-100/furniture-ngpea)                             | real world      | ![alt](doc/images/grid/furniture-ngpea.jpg)               |\n| [cable-damage](https://universe.roboflow.com/roboflow-100/cable-damage)                                   | real world      | ![alt](doc/images/grid/cable-damage.jpg)                  |\n| [animals-ij5d2](https://universe.roboflow.com/roboflow-100/animals-ij5d2)                                 | real world      | ![alt](doc/images/grid/animals-ij5d2.jpg)                 |\n| [coins-1apki](https://universe.roboflow.com/roboflow-100/coins-1apki)                                     | real world      | ![alt](doc/images/grid/coins-1apki.jpg)                   |\n| [apples-fvpl5](https://universe.roboflow.com/roboflow-100/apples-fvpl5)                                   | real world      | ![alt](doc/images/grid/apples-fvpl5.jpg)                  |\n| [people-in-paintings](https://universe.roboflow.com/roboflow-100/people-in-paintings)                     | real world      | ![alt](doc/images/grid/people-in-paintings.jpg)           |\n| [circuit-voltages](https://universe.roboflow.com/roboflow-100/circuit-voltages)                           | real world      | ![alt](doc/images/grid/circuit-voltages.jpg)              |\n| [uno-deck](https://universe.roboflow.com/roboflow-100/uno-deck)                                           | real world      | ![alt](doc/images/grid/uno-deck.jpg)                      |\n| [grass-weeds](https://universe.roboflow.com/roboflow-100/grass-weeds)                                     | real world      | ![alt](doc/images/grid/grass-weeds.jpg)                   |\n| [gauge-u2lwv](https://universe.roboflow.com/roboflow-100/gauge-u2lwv)                                     | real world      | ![alt](doc/images/grid/gauge-u2lwv.jpg)                   |\n| [sign-language-sokdr](https://universe.roboflow.com/roboflow-100/sign-language-sokdr)                     | real world      | ![alt](doc/images/grid/sign-language-sokdr.jpg)           |\n| [valentines-chocolate](https://universe.roboflow.com/roboflow-100/valentines-chocolate)                   | real world      | ![alt](doc/images/grid/valentines-chocolate.jpg)          |\n| [fish-market-ggjso](https://universe.roboflow.com/roboflow-100/fish-market-ggjso)                         | real world      | ![alt](doc/images/grid/fish-market-ggjso.jpg)             |\n| [lettuce-pallets](https://universe.roboflow.com/roboflow-100/lettuce-pallets)                             | real world      | ![alt](doc/images/grid/lettuce-pallets.jpg)               |\n| [shark-teeth-5atku](https://universe.roboflow.com/roboflow-100/shark-teeth-5atku)                         | real world      | ![alt](doc/images/grid/shark-teeth-5atku.jpg)             |\n| [bees-jt5in](https://universe.roboflow.com/roboflow-100/bees-jt5in)                                       | real world      | ![alt](doc/images/grid/bees-jt5in.jpg)                    |\n| [sedimentary-features-9eosf](https://universe.roboflow.com/roboflow-100/sedimentary-features-9eosf)       | real world      | ![alt](doc/images/grid/sedimentary-features-9eosf.jpg)    |\n| [currency-v4f8j](https://universe.roboflow.com/roboflow-100/currency-v4f8j)                               | real world      | ![alt](doc/images/grid/currency-v4f8j.jpg)                |\n| [trail-camera](https://universe.roboflow.com/roboflow-100/trail-camera)                                   | real world      | ![alt](doc/images/grid/trail-camera.jpg)                  |\n| [cell-towers](https://universe.roboflow.com/roboflow-100/cell-towers)                                     | real world      | ![alt](doc/images/grid/cell-towers.jpg)                   |\n| [apex-videogame](https://universe.roboflow.com/roboflow-100/apex-videogame)                               | videogames      | ![alt](doc/images/grid/apex-videogame.jpg)                |\n| [farcry6-videogame](https://universe.roboflow.com/roboflow-100/farcry6-videogame)                         | videogames      | ![alt](doc/images/grid/farcry6-videogame.jpg)             |\n| [csgo-videogame](https://universe.roboflow.com/roboflow-100/csgo-videogame)                               | videogames      | ![alt](doc/images/grid/csgo-videogame.jpg)                |\n| [avatar-recognition-nuexe](https://universe.roboflow.com/roboflow-100/avatar-recognition-nuexe)           | videogames      | ![alt](doc/images/grid/avatar-recognition-nuexe.jpg)      |\n| [halo-infinite-angel-videogame](https://universe.roboflow.com/roboflow-100/halo-infinite-angel-videogame) | videogames      | ![alt](doc/images/grid/halo-infinite-angel-videogame.jpg) |\n| [team-fight-tactics](https://universe.roboflow.com/roboflow-100/team-fight-tactics)                       | videogames      | ![alt](doc/images/grid/team-fight-tactics.jpg)            |\n| [robomasters-285km](https://universe.roboflow.com/roboflow-100/robomasters-285km)                         | videogames      | ![alt](doc/images/grid/robomasters-285km.jpg)             |\n| [tweeter-posts](https://universe.roboflow.com/roboflow-100/tweeter-posts)                                 | documents       | ![alt](doc/images/grid/tweeter-posts.jpg)                 |\n| [tweeter-profile](https://universe.roboflow.com/roboflow-100/tweeter-profile)                             | documents       | ![alt](doc/images/grid/tweeter-profile.jpg)               |\n| [document-parts](https://universe.roboflow.com/roboflow-100/document-parts)                               | documents       | ![alt](doc/images/grid/document-parts.jpg)                |\n| [activity-diagrams-qdobr](https://universe.roboflow.com/roboflow-100/activity-diagrams-qdobr)             | documents       | ![alt](doc/images/grid/activity-diagrams-qdobr.jpg)       |\n| [signatures-xc8up](https://universe.roboflow.com/roboflow-100/signatures-xc8up)                           | documents       | ![alt](doc/images/grid/signatures-xc8up.jpg)              |\n| [paper-parts](https://universe.roboflow.com/roboflow-100/paper-parts)                                     | documents       | ![alt](doc/images/grid/paper-parts.jpg)                   |\n| [tabular-data-wf9uh](https://universe.roboflow.com/roboflow-100/tabular-data-wf9uh)                       | documents       | ![alt](doc/images/grid/tabular-data-wf9uh.jpg)            |\n| [paragraphs-co84b](https://universe.roboflow.com/roboflow-100/paragraphs-co84b)                           | documents       | ![alt](doc/images/grid/paragraphs-co84b.jpg)              |\n| [underwater-pipes-4ng4t](https://universe.roboflow.com/roboflow-100/underwater-pipes-4ng4t)               | underwater      | ![alt](doc/images/grid/underwater-pipes-4ng4t.jpg)        |\n| [aquarium-qlnqy](https://universe.roboflow.com/roboflow-100/aquarium-qlnqy)                               | underwater      | ![alt](doc/images/grid/aquarium-qlnqy.jpg)                |\n| [peixos-fish](https://universe.roboflow.com/roboflow-100/peixos-fish)                                     | underwater      | ![alt](doc/images/grid/peixos-fish.jpg)                   |\n| [underwater-objects-5v7p8](https://universe.roboflow.com/roboflow-100/underwater-objects-5v7p8)           | underwater      | ![alt](doc/images/grid/underwater-objects-5v7p8.jpg)      |\n| [coral-lwptl](https://universe.roboflow.com/roboflow-100/coral-lwptl)                                     | underwater      | ![alt](doc/images/grid/coral-lwptl.jpg)                   |\n| [aerial-pool](https://universe.roboflow.com/roboflow-100/aerial-pool)                                     | aerial          | ![alt](doc/images/grid/aerial-pool.jpg)                   |\n| [secondary-chains](https://universe.roboflow.com/roboflow-100/secondary-chains)                           | aerial          | ![alt](doc/images/grid/secondary-chains.jpg)              |\n| [aerial-spheres](https://universe.roboflow.com/roboflow-100/aerial-spheres)                               | aerial          | ![alt](doc/images/grid/aerial-spheres.jpg)                |\n| [soccer-players-5fuqs](https://universe.roboflow.com/roboflow-100/soccer-players-5fuqs)                   | aerial          | ![alt](doc/images/grid/soccer-players-5fuqs.jpg)          |\n| [weed-crop-aerial](https://universe.roboflow.com/roboflow-100/weed-crop-aerial)                           | aerial          | ![alt](doc/images/grid/weed-crop-aerial.jpg)              |\n| [aerial-cows](https://universe.roboflow.com/roboflow-100/aerial-cows)                                     | aerial          | ![alt](doc/images/grid/aerial-cows.jpg)                   |\n| [cloud-types](https://universe.roboflow.com/roboflow-100/cloud-types)                                     | aerial          | ![alt](doc/images/grid/cloud-types.jpg)                   |\n| [stomata-cells](https://universe.roboflow.com/roboflow-100/stomata-cells)                                 | microscopic     | ![alt](doc/images/grid/stomata-cells.jpg)                 |\n| [bccd-ouzjz](https://universe.roboflow.com/roboflow-100/bccd-ouzjz)                                       | microscopic     | ![alt](doc/images/grid/bccd-ouzjz.jpg)                    |\n| [parasites-1s07h](https://universe.roboflow.com/roboflow-100/parasites-1s07h)                             | microscopic     | ![alt](doc/images/grid/parasites-1s07h.jpg)               |\n| [cells-uyemf](https://universe.roboflow.com/roboflow-100/cells-uyemf)                                     | microscopic     | ![alt](doc/images/grid/cells-uyemf.jpg)                   |\n| [4-fold-defect](https://universe.roboflow.com/roboflow-100/4-fold-defect)                                 | microscopic     | ![alt](doc/images/grid/4-fold-defect.jpg)                 |\n| [bacteria-ptywi](https://universe.roboflow.com/roboflow-100/bacteria-ptywi)                               | microscopic     | ![alt](doc/images/grid/bacteria-ptywi.jpg)                |\n| [cotton-plant-disease](https://universe.roboflow.com/roboflow-100/cotton-plant-disease)                   | microscopic     | ![alt](doc/images/grid/cotton-plant-disease.jpg)          |\n| [mitosis-gjs3g](https://universe.roboflow.com/roboflow-100/mitosis-gjs3g)                                 | microscopic     | ![alt](doc/images/grid/mitosis-gjs3g.jpg)                 |\n| [phages](https://universe.roboflow.com/roboflow-100/phages)                                               | microscopic     | ![alt](doc/images/grid/phages.jpg)                        |\n| [liver-disease](https://universe.roboflow.com/roboflow-100/liver-disease)                                 | microscopic     | ![alt](doc/images/grid/liver-disease.jpg)                 |\n| [asbestos](https://universe.roboflow.com/roboflow-100/asbestos)                                           | microscopic     | ![alt](doc/images/grid/asbestos.jpg)                      |\n| [thermal-dogs-and-people-x6ejw](https://universe.roboflow.com/roboflow-100/thermal-dogs-and-people-x6ejw) | electromagnetic | ![alt](doc/images/grid/thermal-dogs-and-people-x6ejw.jpg) |\n| [solar-panels-taxvb](https://universe.roboflow.com/roboflow-100/solar-panels-taxvb)                       | electromagnetic | ![alt](doc/images/grid/solar-panels-taxvb.jpg)            |\n| [radio-signal](https://universe.roboflow.com/roboflow-100/radio-signal)                                   | electromagnetic | ![alt](doc/images/grid/radio-signal.jpg)                  |\n| [thermal-cheetah-my4dp](https://universe.roboflow.com/roboflow-100/thermal-cheetah-my4dp)                 | electromagnetic | ![alt](doc/images/grid/thermal-cheetah-my4dp.jpg)         |\n| [x-ray-rheumatology](https://universe.roboflow.com/roboflow-100/x-ray-rheumatology)                       | electromagnetic | ![alt](doc/images/grid/x-ray-rheumatology.jpg)            |\n| [acl-x-ray](https://universe.roboflow.com/roboflow-100/acl-x-ray)                                         | electromagnetic | ![alt](doc/images/grid/acl-x-ray.jpg)                     |\n| [abdomen-mri](https://universe.roboflow.com/roboflow-100/abdomen-mri)                                     | electromagnetic | ![alt](doc/images/grid/abdomen-mri.jpg)                   |\n| [axial-mri](https://universe.roboflow.com/roboflow-100/axial-mri)                                         | electromagnetic | ![alt](doc/images/grid/axial-mri.jpg)                     |\n| [gynecology-mri](https://universe.roboflow.com/roboflow-100/gynecology-mri)                               | electromagnetic | ![alt](doc/images/grid/gynecology-mri.jpg)                |\n| [brain-tumor-m2pbp](https://universe.roboflow.com/roboflow-100/brain-tumor-m2pbp)                         | electromagnetic | ![alt](doc/images/grid/brain-tumor-m2pbp.jpg)             |\n| [bone-fracture-7fylg](https://universe.roboflow.com/roboflow-100/bone-fracture-7fylg)                     | electromagnetic | ![alt](doc/images/grid/bone-fracture-7fylg.jpg)           |\n| [flir-camera-objects](https://universe.roboflow.com/roboflow-100/flir-camera-objects)                     | electromagnetic | ![alt](doc/images/grid/flir-camera-objects.jpg)           |\n\n## Credits\n\nWe thank all the authors of the original datasets, below a table linking the Roboflow 100 dataset's name to its original counterpart\n\n| dataset                       | original                                                                                                    |\n|:------------------------------|:------------------------------------------------------------------------------------------------------------|\n| hand-gestures-jps7z           | https://universe.roboflow.com/hand-gestures-recognition/hand-gestures-dataset                               |\n| smoke-uvylj                   | https://universe.roboflow.com/sigma-pub/smoke-detection-sigma                                               |\n| wall-damage                   | https://universe.roboflow.com/sina-uyen0/damage_level_detection                                             |\n| corrosion-bi3q3               | https://universe.roboflow.com/khaingwintz-gmail-com/dataset--2-pathein-train-plus-v-3-update-mm             |\n| excavators-czvg9              | https://universe.roboflow.com/mohamed-sabek-6zmr6/excavators-cwlh0                                          |\n| chess-pieces-mjzgj            | https://universe.roboflow.com/joseph-nelson/chess-pieces-new                                                |\n| road-signs-6ih4y              | https://universe.roboflow.com/project-sign-detection/traffic-sign-cdfml                                     |\n| street-work                   | https://universe.roboflow.com/cone/capacetes-e-cones                                                        |\n| construction-safety-gsnvb     | https://universe.roboflow.com/computer-vision/worker-safety                                                 |\n| road-traffic                  | https://universe.roboflow.com/due/detection-dlzhy                                                           |\n| washroom-rf1fa                | https://universe.roboflow.com/imagetaggingworkspace/washroom-image-tagging                                  |\n| circuit-elements              | https://universe.roboflow.com/new-workspace-rzrja/pcb-2.0                                                   |\n| mask-wearing-608pr            | https://universe.roboflow.com/joseph-nelson/mask-wearing                                                    |\n| cables-nl42k                  | https://universe.roboflow.com/annotationericsson/annotation-2.0                                             |\n| soda-bottles                  | https://universe.roboflow.com/food7/test1-iajnv                                                             |\n| truck-movement                | https://universe.roboflow.com/psi-dhxqe/psi-rossville-pano                                                  |\n| wine-labels                   | https://universe.roboflow.com/wine-label/wine-label-detection                                               |\n| digits-t2eg6                  | https://universe.roboflow.com/dmrs/number-1gmaw                                                             |\n| vehicles-q0x2v                | https://universe.roboflow.com/7-class/11-11-2021-09.41                                                      |\n| peanuts-sd4kf                 | https://universe.roboflow.com/molds-onbk3/peanuts-mckge/                                                    |\n| printed-circuit-board         | https://universe.roboflow.com/new-workspace-rzrja/pcb-2.0                                                   |\n| pests-2xlvx                   | https://universe.roboflow.com/gugugu/pests-f8kkr                                                            |\n| cavity-rs0uf                  | https://universe.roboflow.com/duong-duc-cuong/cavity-n3ioq                                                  |\n| leaf-disease-nsdsr            | https://universe.roboflow.com/puri/puri4-ygapu                                                              |\n| marbles                       | https://universe.roboflow.com/zhe-fan/marble-images                                                         |\n| pills-sxdht                   | https://universe.roboflow.com/mohamed-attia-e2mor/pill-detection-llp4r                                      |\n| poker-cards-cxcvz             | https://universe.roboflow.com/roboflow-100/poker-cards-cxcvz                                                |\n| number-ops                    | https://universe.roboflow.com/mnist-bvalq/mnist-icrul                                                       |\n| insects-mytwu                 | https://universe.roboflow.com/nirmani/yolo-custome-925                                                      |\n| cotton-20xz5                  | https://universe.roboflow.com/cotton-nqp2x/bt-cotton                                                        |\n| furniture-ngpea               | https://universe.roboflow.com/minoj-selvaraj/furniture-sfocl                                                |\n| cable-damage                  | https://universe.roboflow.com/st-hedgehog-yusupov-gmail-com/kanaaat                                         |\n| animals-ij5d2                 | https://universe.roboflow.com/dane-sprsiter/barnyard                                                        |\n| coins-1apki                   | https://universe.roboflow.com/labelimg/label_coin                                                           |\n| apples-fvpl5                  | https://universe.roboflow.com/arfiani-nur-sayidah-9lizr/apple-sorting-2bfhk                                 |\n| people-in-paintings           | https://universe.roboflow.com/raya-al/french-paintings-dataset-d2vbe                                        |\n| circuit-voltages              | https://universe.roboflow.com/vanitchaporn/circuit-gexit                                                    |\n| uno-deck                      | https://universe.roboflow.com/joseph-nelson/uno-cards                                                       |\n| grass-weeds                   | https://universe.roboflow.com/jan-douwe/testbl                                                              |\n| gauge-u2lwv                   | https://universe.roboflow.com/evankim9903-gmail-com/gauge_detection                                         |\n| sign-language-sokdr           | https://universe.roboflow.com/david-lee-d0rhs/american-sign-language-letters                                |\n| valentines-chocolate          | https://universe.roboflow.com/chocolates/valentines-chocolates                                              |\n| fish-market-ggjso             | https://universe.roboflow.com/commolybroken/dataset-z2vab                                                   |\n| lettuce-pallets               | https://universe.roboflow.com/lettucedetector                                                               |\n| shark-teeth-5atku             | https://universe.roboflow.com/sharks/shark-taxonomy                                                         |\n| bees-jt5in                    | https://universe.roboflow.com/jjb-object-detection-projects/bee-detection-pry0w                             |\n| sedimentary-features-9eosf    | https://universe.roboflow.com/sedimentary-structures/sedimentary-features-rmadz                             |\n| currency-v4f8j                | https://universe.roboflow.com/alex-hyams-cosqx/cash-counter/                                                |\n| trail-camera                  | https://universe.roboflow.com/my-game-pics/my-game-pics                                                     |\n| cell-towers                   | https://universe.roboflow.com/yuyang-li/tower_jointv1                                                       |\n| apex-videogame                | https://universe.roboflow.com/apex-esoic/apexyolov4                                                         |\n| farcry6-videogame             | https://universe.roboflow.com/kais-al-hajjih/farcry6-hackathon                                              |\n| csgo-videogame                | https://universe.roboflow.com/new-workspace-rp0z0/csgo-train-yolo-v5                                        |\n| avatar-recognition-nuexe      | https://universe.roboflow.com/new-workspace-0pohs/avatar-recognition-rfw8d                                  |\n| halo-infinite-angel-videogame | https://universe.roboflow.com/graham-doerksen/halo-infinite-angel-aim                                       |\n| team-fight-tactics            | https://universe.roboflow.com/lamaitw/lama-itw/                                                             |\n| robomasters-285km             | https://universe.roboflow.com/etp5501-gmail-com/robomasters-colored                                         |\n| tweeter-posts                 | https://universe.roboflow.com/tweeter/tweeter                                                               |\n| tweeter-profile               | https://universe.roboflow.com/wojciech-blachowski/tweets                                                    |\n| document-parts                | https://universe.roboflow.com/new-workspace-vf0ib/calpers                                                   |\n| activity-diagrams-qdobr       | https://universe.roboflow.com/public1/activity-diagrams-s7sxv                                               |\n| signatures-xc8up              | https://universe.roboflow.com/signature-detection/signaturesdetectiob                                       |\n| paper-parts                   | https://universe.roboflow.com/object-detection-alan-devera/object-detection-ycqjb                           |\n| tabular-data-wf9uh            | https://universe.roboflow.com/rik-biswas/tabular-data-dh4ek                                                 |\n| paragraphs-co84b              | https://universe.roboflow.com/new-workspace-4vus5/singlemcq                                                 |\n| underwater-pipes-4ng4t        | https://universe.roboflow.com/underwaterpipes/underwater_pipes_orginal_pictures                             |\n| aquarium-qlnqy                | https://universe.roboflow.com/brad-dwyer/aquarium-combined                                                  |\n| peixos-fish                   | https://universe.roboflow.com/nasca37/peixos3                                                               |\n| underwater-objects-5v7p8      | https://universe.roboflow.com/workspace-txxpz/underwater-detection                                          |\n| coral-lwptl                   | https://universe.roboflow.com/nikita-manolis-je2ii/coral-growth-form                                        |\n| aerial-pool                   | https://universe.roboflow.com/a-s/uwh                                                                       |\n| secondary-chains              | https://universe.roboflow.com/cc_moon/secondaries                                                           |\n| aerial-spheres                | https://universe.roboflow.com/mevil-crasta/annotating-spheres---11-04                                       |\n| soccer-players-5fuqs          | https://universe.roboflow.com/ilyes-talbi-ptwsp/futbol-players                                              |\n| weed-crop-aerial              | https://universe.roboflow.com/new-workspace-csmgu/weedcrop-waifl                                            |\n| aerial-cows                   | https://universe.roboflow.com/omarkapur-berkeley-edu/livestalk                                              |\n| cloud-types                   | https://universe.roboflow.com/research-project/shallow-cloud                                                |\n| stomata-cells                 | https://universe.roboflow.com/new-workspace-fditd/stomata02                                                 |\n| bccd-ouzjz                    | https://universe.roboflow.com/team-roboflow/blood-cell-detection-1ekwu                                      |\n| parasites-1s07h               | https://universe.roboflow.com/graduao/sistema-para-analise-de-ovos-de-parasitas-em-amostra-de-agua-e-sangue |\n| cells-uyemf                   | https://universe.roboflow.com/new-workspace-86q1t/t03-proyecto-celula-dataset-ampliado                      |\n| 4-fold-defect                 | https://universe.roboflow.com/kat-laura/defect-detection-gil85                                              |\n| bacteria-ptywi                | https://universe.roboflow.com/terada-shoma/gram-positive-bacteria                                           |\n| cotton-plant-disease          | https://universe.roboflow.com/quandong-qian/desease-cotton-plant                                            |\n| mitosis-gjs3g                 | https://universe.roboflow.com/20029-tkmce-ac-in/mitosis-dwute                                               |\n| phages                        | https://universe.roboflow.com/danish2562022-gmail-com/microglia_rgb/                                        |\n| liver-disease                 | https://universe.roboflow.com/liver-t5yvf/liver-diseases                                                    |\n| asbestos                      | https://universe.roboflow.com/ahmad-rabiee/asbest91                                                         |\n| thermal-dogs-and-people-x6ejw | https://universe.roboflow.com/joseph-nelson/thermal-dogs-and-people                                         |\n| solar-panels-taxvb            | https://universe.roboflow.com/new-workspace-rt1da/solarpaneldetectmodel                                     |\n| radio-signal                  | https://universe.roboflow.com/danil/                                                                        |\n| thermal-cheetah-my4dp         | https://universe.roboflow.com/brad-dwyer/thermal-cheetah                                                    |\n| x-ray-rheumatology            | https://universe.roboflow.com/publictestsite/xray-rheumatology-images-public                                |\n| acl-x-ray                     | https://universe.roboflow.com/objectdetection-9lu9z/detectron2-acl                                          |\n| abdomen-mri                   | https://universe.roboflow.com/xinweihe/circle-3train                                                        |\n| axial-mri                     | https://universe.roboflow.com/tfg-2nmge/axial-dataset                                                       |\n| gynecology-mri                | https://universe.roboflow.com/yuanyuanpei7/5-8w                                                             |\n| brain-tumor-m2pbp             | https://universe.roboflow.com/yousef-ghanem-jzj4y/brain-tumor-detection-fpf1f                               |\n| bone-fracture-7fylg           | https://universe.roboflow.com/science-research/science-research-2022:-bone-fracture-detection               |\n| flir-camera-objects           | https://universe.roboflow.com/thermal-imaging-0hwfw/flir-data-set                                           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