{"id":19642321,"url":"https://github.com/xu-justin/patchmentation-dataset","last_synced_at":"2025-08-03T22:36:19.738Z","repository":{"id":64788866,"uuid":"577188263","full_name":"Xu-Justin/patchmentation-dataset","owner":"Xu-Justin","description":"This datasets are used to benchmark patch augmentation performance of patchmentation.","archived":false,"fork":false,"pushed_at":"2023-03-07T17:03:29.000Z","size":3289,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-09T19:50:23.891Z","etag":null,"topics":["benchmarking","dataset-augmentation","patchmentation"],"latest_commit_sha":null,"homepage":"https://github.com/Xu-Justin/patchmentation","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Xu-Justin.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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":"2022-12-12T07:08:02.000Z","updated_at":"2022-12-14T11:58:55.000Z","dependencies_parsed_at":"2024-11-11T14:12:25.285Z","dependency_job_id":"06827fd3-900f-4097-b4c4-d4561a9bec97","html_url":"https://github.com/Xu-Justin/patchmentation-dataset","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Xu-Justin%2Fpatchmentation-dataset","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Xu-Justin%2Fpatchmentation-dataset/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Xu-Justin%2Fpatchmentation-dataset/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Xu-Justin%2Fpatchmentation-dataset/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Xu-Justin","download_url":"https://codeload.github.com/Xu-Justin/patchmentation-dataset/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240948726,"owners_count":19883204,"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":["benchmarking","dataset-augmentation","patchmentation"],"created_at":"2024-11-11T14:12:15.676Z","updated_at":"2025-02-26T23:20:44.759Z","avatar_url":"https://github.com/Xu-Justin.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Patchmentation Dataset\n\nThis datasets are used to benchmark patch augmentation performance of [patchmentation](https://github.com/Xu-Justin/patchmentation).\n\nThe benchmarking results can be found at [Xu-Justin/patchmentation-yolov5](https://github.com/Xu-Justin/patchmentation-yolov5#experiment-results-and-comparison).\n\n## Dependency\n\n* Using PIP\n\n  ```bash\n  pip install -r requirements.txt\n  ```\n\n* Using Docker (recommended)\n  \n  ```bash\n  docker pull jstnxu/patchmentation:dataset\n  docker run -it \\\n    -v {cache_folder}:/root/.cache/patchmentation-data \\\n    -v {data_folder}:/workspace/data \\\n    jstnxu/patchmentation:dataset /bin/bash\n  ```\n  \n  * change `{cache_folder}` to local path to save cache.\n\n  * change `{data_folder}` to local path to save generated data.\n\n## Dataset Spesification\n\n* **Training Dataset**\n\n  \u003cdetails\u003e \u003csummary\u003e \u003cb\u003e \u003ccode\u003e train-pascal-voc-2007 \u003c/code\u003e \u003c/b\u003e \u003c/summary\u003e\n    \n    * Number of Images: 2501\n    \n    * Number of Classes: 20\n    \n    * Source: Pascal VOC 2007 - Train\n\n    ```bash\n    python3 dataset.py --version train-pascal-voc-2007 --generate\n    ```\n      \n  \u003c/details\u003e\n\n  \u003cdetails\u003e \u003csummary\u003e \u003cb\u003e \u003ccode\u003e train-pascal-voc-2007-tiny \u003c/code\u003e \u003c/b\u003e \u003c/summary\u003e\n    \n    * Number of Images: 200\n    \n    * Number of Classes: 20\n    \n    * Source: Pascal VOC 2007 - Train\n\n    ```bash\n    python3 dataset.py --version train-pascal-voc-2007-tiny --generate --batch 2\n    ```\n  \n  \u003c/details\u003e\n  \n  \u003cdetails\u003e \u003csummary\u003e \u003cb\u003e \u003ccode\u003e train-pascal-voc-2007-v1 \u003c/code\u003e \u003c/b\u003e \u003c/summary\u003e\n    \n    * Number of Images: 2,500\n    \n    * Number of Classes: 20\n    \n    * Source: Pascal VOC 2007 - Train\n\n    * Actions\n\n      * `filter.FilterWidth(50, Comparator.GreaterEqual)`\n      \n      * `filter.FilterHeight(50, Comparator.GreaterEqual)`\n      \n      * `transform.RandomResize(width_range=(50, 150), aspect_ratio=transform.Resize.AUTO_ASPECT_RATIO)`\n\n    * Kwargs\n\n      * `max_n_patches = 10`\n\n    \u003cbr\u003e\n\n    ```bash\n    python3 dataset.py --version train-pascal-voc-2007-v1 --generate --batch 30\n    ```\n  \n  \u003c/details\u003e\n\n  \u003cdetails\u003e \u003csummary\u003e \u003cb\u003e \u003ccode\u003e train-pascal-voc-2007-v2 \u003c/code\u003e \u003c/b\u003e \u003c/summary\u003e\n    \n    * Number of images: 2,500\n    \n    * Number of Classes: 20\n    \n    * Source: Pascal VOC 2007 - Train\n\n    * Actions\n\n      * `filter.FilterWidth(50, Comparator.GreaterEqual)`\n      \n      * `filter.FilterHeight(50, Comparator.GreaterEqual)`\n      \n      * `transform.RandomResize(width_range=(50, 150), aspect_ratio=transform.Resize.AUTO_ASPECT_RATIO)`\n\n      * `filter.FilterWidth(30, Comparator.GreaterEqual)`\n\n      * `filter.FilterHeight(30, Comparator.GreaterEqual)`\n\n      * `transform.SoftEdge(13, 20)`\n\n    * Kwargs\n\n      * `max_n_patches = 20`\n\n      * `visibility_threshold = 1.0`\n\n    \u003cbr\u003e\n\n    ```bash\n    python3 dataset.py --version train-pascal-voc-2007-v2 --generate --batch 30\n    ```\n  \n  \u003c/details\u003e\n\n  \u003cdetails\u003e \u003csummary\u003e \u003cb\u003e \u003ccode\u003e train-pascal-voc-2007-v3 \u003c/code\u003e \u003c/b\u003e \u003c/summary\u003e\n    \n    * Number of images: 2,500\n    \n    * Number of Classes: 20\n    \n    * Source: Pascal VOC 2007 - Train\n\n    * Actions\n\n      * `filter.FilterWidth(50, Comparator.GreaterEqual)`\n      \n      * `filter.FilterHeight(50, Comparator.GreaterEqual)`\n      \n      * `transform.RandomResize(width_range=(50, 150), aspect_ratio=transform.Resize.AUTO_ASPECT_RATIO)`\n\n    * Kwargs\n\n      * `max_n_patches = 20`\n\n      * `visibility_threshold = 0.8`\n      \n      * `ratio_negative_patch = 5.0`\n      \n      * `iou_negative_patch = 0.2`\n\n    \u003cbr\u003e\n\n    ```bash\n    python3 dataset.py --version train-pascal-voc-2007-v3 --generate --batch 30\n    ```\n  \n  \u003c/details\u003e\n\n  \u003cdetails\u003e \u003csummary\u003e \u003cb\u003e \u003ccode\u003e train-pascal-voc-2007-v4 \u003c/code\u003e \u003c/b\u003e \u003c/summary\u003e\n    \n    * Number of images: 2,500\n    \n    * Number of Classes: 20\n    \n    * Source: Pascal VOC 2007 - Train\n\n    * Actions\n\n      * `filter.FilterWidth(50, Comparator.GreaterEqual)`\n      \n      * `filter.FilterHeight(50, Comparator.GreaterEqual)`\n      \n      * `transform.RandomResize(width_range=(50, 150), aspect_ratio=transform.Resize.AUTO_ASPECT_RATIO)`\n\n      * `filter.FilterWidth(30, Comparator.GreaterEqual)`\n\n      * `filter.FilterHeight(30, Comparator.GreaterEqual)`\n\n      * `transform.SoftEdge(13, 20)`\n\n    * Kwargs\n\n      * `max_n_patches = 20`\n\n      * `visibility_threshold = 0.8`\n      \n      * `ratio_negative_patch = 5.0`\n      \n      * `iou_negative_patch = 0.2`\n\n    \u003cbr\u003e\n\n    ```bash\n    python3 dataset.py --version train-pascal-voc-2007-v4 --generate --batch 30\n    ```\n  \n  \u003c/details\u003e\n\n  \u003cdetails\u003e \u003csummary\u003e \u003cb\u003e \u003ccode\u003e train-penn-fudan-ped-person \u003c/code\u003e \u003c/b\u003e \u003c/summary\u003e\n    \n    * Number of images: 100\n    \n    * Number of Classes: 1\n    \n    * Source: Penn Fudan Ped\n\n    ```bash\n    python3 dataset.py --version train-penn-fudan-ped-person --generate --batch 100\n    ```\n  \n  \u003c/details\u003e\n\n  \u003cdetails\u003e \u003csummary\u003e \u003cb\u003e \u003ccode\u003e train-campus \u003c/code\u003e \u003c/b\u003e \u003c/summary\u003e\n    \n    * Number of images: 250\n    \n    * Number of Classes: 1\n    \n    * Source: Campus - Garden1, Penn Fudan Ped\n\n    * Actions\n\n      * `filter.FilterWidth(20, Comparator.GreaterEqual)`\n      \n      * `filter.FilterHeight(20, Comparator.GreaterEqual)`\n      \n      * `transform.RandomResize(height_range=(150, 600), aspect_ratio=transform.Resize.AUTO_ASPECT_RATIO)`\n\n      * `transform.SoftEdge(5, 10)`\n\n    * Kwargs\n\n      * `max_n_patches = 30`\n\n      * `visibility_threshold = 0.8`\n\n    \u003cbr\u003e\n\n    ```bash\n    python3 dataset.py --version train-campus --generate --batch 50\n    ```\n        \n  \u003c/details\u003e\n  \n* **Validation Dataset**\n  \n  \u003cdetails\u003e \u003csummary\u003e \u003cb\u003e \u003ccode\u003e valid-pascal-voc-2007 \u003c/code\u003e \u003c/b\u003e \u003c/summary\u003e\n    \n    * Number of Images: 2,510\n    \n    * Number of Classes: 20\n    \n    * Source: Pascal VOC 2007 - Val\n\n    ```bash\n    python3 dataset.py --version valid-pascal-voc-2007 --generate\n    ```\n      \n  \u003c/details\u003e\n\n  \u003cdetails\u003e \u003csummary\u003e \u003cb\u003e \u003ccode\u003e valid-penn-fudan-ped-person \u003c/code\u003e \u003c/b\u003e \u003c/summary\u003e\n    \n    * Number of images: 70\n    \n    * Number of Classes: 1\n    \n    * Source: Penn Fudan Ped\n\n    ```bash\n    python3 dataset.py --version valid-penn-fudan-ped-person --generate\n    ```\n  \n  \u003c/details\u003e\n\n  \u003cdetails\u003e \u003csummary\u003e \u003cb\u003e \u003ccode\u003e valid-campus \u003c/code\u003e \u003c/b\u003e \u003c/summary\u003e\n    \n    * Number of images: 256\n    \n    * Number of Classes: 1\n    \n    * Source: Campus - Garden1\n\n    ```bash\n    python3 dataset.py --version valid-campus --generate\n    ```\n  \n  \u003c/details\u003e\n  \n* **Test Dataset**\n  \n  \u003cdetails\u003e \u003csummary\u003e \u003cb\u003e \u003ccode\u003e test-pascal-voc-2007 \u003c/code\u003e \u003c/b\u003e \u003c/summary\u003e\n    \n    * Number of Images: 4,952\n    \n    * Number of Classes: 20\n    \n    * Source: Pascal VOC 2007 - Test\n\n    ```bash\n    python3 dataset.py --version test-pascal-voc-2007 --generate\n    ```\n      \n  \u003c/details\u003e\n\n  \u003cdetails\u003e \u003csummary\u003e \u003cb\u003e \u003ccode\u003e test-campus \u003c/code\u003e \u003c/b\u003e \u003c/summary\u003e\n    \n    * Number of images: 11,538\n    \n    * Number of Classes: 1\n    \n    * Source: Campus - Garden1\n\n    ```bash\n    python3 dataset.py --version test-campus --generate\n    ```\n  \n  \u003c/details\u003e\n\n\n## Arguments\n\n| Priority* |    Arguments   |        Type       | Description                                                                                                      |\n|:---------:|:--------------:|:-----------------:|------------------------------------------------------------------------------------------------------------------|\n|     -     |   `--version`  | one or more `str` | Dataset version(s).                                                                                              |\n|     -     |  `--overwrite` |    `store_true`   | Overwrite existing dataset / zip.                                                                                |\n|     -     |    `--batch`   |       `int`       | Number of batch to generate (default=`1`)                                                                        |\n|     1     |  `--generate`  |    `store_true`   | Generate the dataset. If `overwrite` is true, it will remove the dataset (if exists) before generating.          |\n|     2     |     `--zip`    |    `store_true`   | Zip the dataset. If `overwrite` is true, it will remove the dataset zip (if exists) before zipping.              |\n|     3     |   `--upload`   |    `store_true`   | Upload the dataset zip.                                                                                          |\n|     4     | `--remove-zip` |    `store_true`   | Remove the dataset zip, if exists.                                                                               |\n|     5     |  `--download`  | one or more `url` | Download the dataset zip. If `overwrite` is true, it will remove the dataset zip (if exists) before downloading. |\n|     6     |    `--unzip`   |    `store_true`   | Unzip the dataset zip. If `overwrite` is true, it will remove the dataset (if exists) before unzipping.          |\n|     7     |  `--validate`  |    `store_true`   | Validate the dataset.                                                                                            |\n|     8     |   `--remove`   |    `store_true`   | Remove the dataset, if exists.                                                                                   |\n\n**Smaller priority number will be executed first*\n\n---\n\nThis project was developed as part of thesis project, Computer Science, BINUS University.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fxu-justin%2Fpatchmentation-dataset","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fxu-justin%2Fpatchmentation-dataset","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fxu-justin%2Fpatchmentation-dataset/lists"}