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Stars gained: From Apr 26, 2026 to Nov 5, 2026, each from zeroStars gainedFrom Apr 26, 2026 to Nov 5, 2026, each from zero01KApr 26Nov 5, 2026wkentaro/labelmeultralytics/yolov5
Stars: The star count at the end of each dayStarsThe star count at the end of each day20K40K60KApr 26Nov 5, 2026wkentaro/labelmeultralytics/yolov5

Facts

Factwkentaro/labelme

Image annotation with Python. Supports polygon, rectangle, circle, line, point, and AI-assisted annotation.

ultralytics/yolov5

Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.

Stars16,28858,253
Net stars, last 30 days+93+197
Largest star day+24 on May 10, 2026+22 on Oct 23, 2026
Milestone reached in the recordNoneNone
Forks3,72617,442
LanguagePythonNot reported
LicenseGPL-3.0AGPL-3.0
CreatedMay 9, 2016May 18, 2020
Last pushNov 5, 2026Nov 4, 2026
ArchivedNoNo
Health facts: Maintenance4 of 4 checks4 of 4 checks
Health facts: Releases3 of 3 checks0 of 3 checks
Health facts: Security practice0 of 1 check1 of 1 check
Health facts: Community files1 of 3 checks3 of 3 checks
Commits, last 13 weeks1,03822
Weeks with commits, last 5248 of 5234 of 52
In the Repository Index sinceOct 22, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: computer-vision, deep-learning, instance-segmentation. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined

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