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ultralytics/yolov3

PythonAGPL-3.0activepopular
92Health

PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.

Stars10.6k
Forks3.4k
Open Issues4
Contributors3.4k
Last Push0d ago

Health Breakdown

Activity
25
Community
25
Maintenance
17
Popularity
25
#computer-vision#coreml#deep-learning#edge-ai#inference#model-export#model-training#object-detection#onnx#pytorch#tensorrt#ultralytics#yolo#yolov3
View on GitHub ↗Issues (4) ↗Pull Requests ↗Wiki ↗

Should you contribute to ultralytics/yolov3?

ultralytics/yolov3 has a FoundDev health score of 92/100, which puts it in the active-and-maintained tier. The maintainer team is shipping recently, issues are being closed, and a PR you open this week has a realistic chance of being reviewed.

Last push was 0 days ago — that signals an actively maintained project. New issues are likely to get a maintainer response within days. The project is written primarily in Python, so prior Python experience will shorten ramp-up.

Licensed under AGPL-3.0, a standard OSI-approved license — safe to contribute to under normal employer IP policies.

Community

ultralytics
ultralytics/yolov3
PythonAGPL 3.0
92

PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.

activepopular
10.6k3.4k contributors4 issues
0d ago

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