{"id":13645187,"url":"https://github.com/2vin/PyYAT","last_synced_at":"2025-04-21T13:31:59.303Z","repository":{"id":49331476,"uuid":"507146501","full_name":"2vin/PyYAT","owner":"2vin","description":"Semi-Automatic Yolo Annotation Tool In Python","archived":false,"fork":false,"pushed_at":"2023-08-23T22:43:19.000Z","size":1315,"stargazers_count":19,"open_issues_count":3,"forks_count":9,"subscribers_count":1,"default_branch":"master","last_synced_at":"2024-11-09T18:41:42.667Z","etag":null,"topics":["annotation-tool","computer-vision","deeplearning","yolo"],"latest_commit_sha":null,"homepage":"","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/2vin.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":"2022-06-24T21:18:20.000Z","updated_at":"2024-10-13T15:45:23.000Z","dependencies_parsed_at":"2024-08-02T01:20:49.789Z","dependency_job_id":"5a0b9cde-9501-447a-9ccf-dbe54340da46","html_url":"https://github.com/2vin/PyYAT","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/2vin%2FPyYAT","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/2vin%2FPyYAT/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/2vin%2FPyYAT/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/2vin%2FPyYAT/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/2vin","download_url":"https://codeload.github.com/2vin/PyYAT/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":250064725,"owners_count":21368964,"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":["annotation-tool","computer-vision","deeplearning","yolo"],"created_at":"2024-08-02T01:02:30.953Z","updated_at":"2025-04-21T13:31:58.811Z","avatar_url":"https://github.com/2vin.png","language":"Python","funding_links":[],"categories":["Summary","Object Detection Applications"],"sub_categories":[],"readme":"\u003ca href=\"https://linkedin.com/in/2vin\"\u003e\u003cimg src=\"https://img.shields.io/badge/LinkedIn-0077B5?style=for-the-badge\u0026logo=linkedin\u0026logoColor=white\"\u003e\u003c/img\u003e\u003c/a\u003e\n\u003ca href=\"https://connect.vin\"\u003e\u003cimg src=\"https://img.shields.io/badge/website-FF6A00?style=for-the-badge\u0026logo=About.me\u0026logoColor=white\"\u003e\u003c/img\u003e\u003c/a\u003e\n\n# PyYAT\nSemi-Automatic Yolo Annotation Tool In Python\n\n\u003ctable\u003e\n  \u003ctr\u003e\n    \u003ctd\u003ePyYAT\u003c/td\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/38634222/175885482-baf10681-6ef5-45b5-873d-c4304e8fea73.png\" width=640 height=480\u003e\u003c/td\u003e\n  \u003c/tr\u003e\n \u003c/table\u003e\n \nUsing this tool, we can annotate bounding boxes for image annotation in YOLO format. \nIt uses YOLOv3-608 weights to pre-annotate the bounding boxes in images. It reduces time and efforts in annotating large datasets by upto 90%.\n\n## About the repository\n* 'yolo_annotation_tool.py' : Main file to load images one-by-one from the dataset, and then annotate them.\n* 'recognize_objects.py' : Object recognition class for pre-annotating images before manual annotation process.\n* 'config.ini' : Edit data folder, output folder and label file path according to your preference. 'annotation_index' is automatically updated based on index of the last saved annotated image.\n* 'labels.csv' : List of all the classes to be annotated.\n* '/models' : It contains YOLOv3-608 weights (to be downloaded), cfg and coco.names files.\n* '/data' : Sample of input images to be annotated\n* '/output' : Sample of output files after annotation.\n\n## Usage:\n```\npython yolo_annotation_tool.py\n```\n## Key buttons:\n* 'S' : Save annotations\n* 'L' : Change current class of labeling\n* 'Esc' :  Exit the code\n\n## Input images\n\n\u003ctable\u003e\n  \u003ctr\u003e\n    \u003ctd\u003eImage 1\u003c/td\u003e\n     \u003ctd\u003eImage 2\u003c/td\u003e\n     \u003ctd\u003eImage 3\u003c/td\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"https://github.com/2vin/PyYAT/blob/master/data/1.jpg\" width=320 height=240\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://github.com/2vin/PyYAT/blob/master/data/2.jpg\" width=320 height=240\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://github.com/2vin/PyYAT/blob/master/data/3.jpeg\" width=320 height=240\u003e\u003c/td\u003e\n  \u003c/tr\u003e\n \u003c/table\u003e\n\n\n## Output images (Pre-annotation)\n\n\u003ctable\u003e\n  \u003ctr\u003e\n    \u003ctd\u003eImage 1\u003c/td\u003e\n     \u003ctd\u003eImage 2\u003c/td\u003e\n     \u003ctd\u003eImage 3\u003c/td\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/38634222/175885476-e8b33fb0-f2be-4a4e-b1fc-ae493e03e85b.png\" width=320 height=240\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/38634222/175885461-93b0fafe-e135-4a76-9b6a-416de9a4513a.png\" width=320 height=240\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/38634222/175885482-baf10681-6ef5-45b5-873d-c4304e8fea73.png\" width=320 height=240\u003e\u003c/td\u003e\n  \u003c/tr\u003e\n \u003c/table\u003e\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2F2vin%2FPyYAT","html_url":"https://awesome.ecosyste.ms/projects/github.com%2F2vin%2FPyYAT","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2F2vin%2FPyYAT/lists"}