{"id":13737852,"url":"https://github.com/dbolya/tide","last_synced_at":"2025-04-08T11:12:07.674Z","repository":{"id":37312493,"uuid":"280237840","full_name":"dbolya/tide","owner":"dbolya","description":"A General Toolbox for Identifying Object Detection Errors","archived":false,"fork":false,"pushed_at":"2023-03-31T20:18:30.000Z","size":12572,"stargazers_count":714,"open_issues_count":34,"forks_count":115,"subscribers_count":17,"default_branch":"master","last_synced_at":"2025-04-01T09:27:08.429Z","etag":null,"topics":["error-detection","errors","evaluation","instance-segmentation","object-detection","toolbox"],"latest_commit_sha":null,"homepage":"https://dbolya.github.io/tide","language":"Python","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/dbolya.png","metadata":{"files":{"readme":"README.md","changelog":"CHANGELOG.md","contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2020-07-16T19:14:39.000Z","updated_at":"2025-03-03T06:22:44.000Z","dependencies_parsed_at":"2022-07-12T12:14:17.257Z","dependency_job_id":null,"html_url":"https://github.com/dbolya/tide","commit_stats":{"total_commits":14,"total_committers":2,"mean_commits":7.0,"dds":0.0714285714285714,"last_synced_commit":"49a5d2a4aeb56795e93a3ed7cc7e6d25757bb4c1"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dbolya%2Ftide","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dbolya%2Ftide/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dbolya%2Ftide/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dbolya%2Ftide/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/dbolya","download_url":"https://codeload.github.com/dbolya/tide/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247829511,"owners_count":21002997,"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":["error-detection","errors","evaluation","instance-segmentation","object-detection","toolbox"],"created_at":"2024-08-03T03:02:03.237Z","updated_at":"2025-04-08T11:12:07.646Z","avatar_url":"https://github.com/dbolya.png","language":"Python","funding_links":[],"categories":["Python"],"sub_categories":[],"readme":"# A General **T**oolbox for **I**dentifying Object **D**etection **E**rrors\n```\n████████╗██╗██████╗ ███████╗\n╚══██╔══╝██║██╔══██╗██╔════╝\n   ██║   ██║██║  ██║█████╗  \n   ██║   ██║██║  ██║██╔══╝  \n   ██║   ██║██████╔╝███████╗\n   ╚═╝   ╚═╝╚═════╝ ╚══════╝\n```\n\nAn easy-to-use, general toolbox to compute and evaluate the effect of object detection and instance segmentation on overall performance. This is the code for our paper: [TIDE: A General Toolbox for Identifying Object Detection Errors](https://dbolya.github.io/tide/paper.pdf) ([ArXiv](https://arxiv.org/abs/2008.08115)) [ECCV2020 Spotlight].\n\nCheck out our ECCV 2020 short video for an explanation of what TIDE can do:\n\n[![TIDE Introduction](https://img.youtube.com/vi/McYFYU3PXcU/0.jpg)](https://youtu.be/McYFYU3PXcU)\n\n# Installation\n\nTIDE is available as a python package for python 3.6+ as [tidecv](https://pypi.org/project/tidecv/). To install, simply install it with pip:\n```shell\npip3 install tidecv\n```\n\nThe current version is v1.0.1 ([changelog](https://github.com/dbolya/tide/blob/master/CHANGELOG.md)).\n\n# Usage\nTIDE is meant as a drop-in replacement for the [COCO Evaluation toolkit](https://github.com/cocodataset/cocoapi), and getting started is easy:\n\n```python\nfrom tidecv import TIDE, datasets\n\ntide = TIDE()\ntide.evaluate(datasets.COCO(), datasets.COCOResult('path/to/your/results/file'), mode=TIDE.BOX) # Use TIDE.MASK for masks\ntide.summarize()  # Summarize the results as tables in the console\ntide.plot()       # Show a summary figure. Specify a folder and it'll output a png to that folder.\n```\n\nThis prints evaluation summary tables to the console:\n```\n-- mask_rcnn_bbox --\n\nbbox AP @ 50: 61.80\n\n                         Main Errors\n=============================================================\n  Type      Cls      Loc     Both     Dupe      Bkg     Miss\n-------------------------------------------------------------\n   dAP     3.40     6.65     1.18     0.19     3.96     7.53\n=============================================================\n\n        Special Error\n=============================\n  Type   FalsePos   FalseNeg\n-----------------------------\n   dAP      16.28      15.57\n=============================\n```\n\nAnd a summary plot for your model's errors:\n\n![A summary plot](https://dbolya.github.io/tide/mask_rcnn_bbox_bbox_summary.png)\n\n## Jupyter Notebook\n\nCheck out the [example notebook](https://github.com/dbolya/tide/blob/master/examples/coco_instance_segmentation.ipynb) for more details.\n\n\n# Datasets\nThe currently supported datasets are COCO, LVIS, Pascal, and Cityscapes. More details and documentation on how to write your own database drivers coming soon!\n\n# Citation\nIf you use TIDE in your project, please cite\n```\n@inproceedings{tide-eccv2020,\n  author    = {Daniel Bolya and Sean Foley and James Hays and Judy Hoffman},\n  title     = {TIDE: A General Toolbox for Identifying Object Detection Errors},\n  booktitle = {ECCV},\n  year      = {2020},\n}\n```\n\n## Contact\nFor questions about our paper or code, make an issue in this github or contact [Daniel Bolya](mailto:dbolya@gatech.edu). Note that I may not respond to emails, so github issues are your best bet.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdbolya%2Ftide","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdbolya%2Ftide","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdbolya%2Ftide/lists"}