Detect objects in images using a fast and efficient model that you can train and deploy.
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yolov3 has 10.6k stars on GitHub. It has been forked 3.4k times. yolov3 is written mainly in Python. It has been in active development since 2018. yolov3 is available under the AGPL-3.0 license. Its main topics are deep-learning, machine-learning, object-detection, ultralytics.
Ultralytics YOLOv3 in PyTorch > ONNX > CoreML > TFLite
yolov3 is an open-source project. It is released under the AGPL-3.0 license.
Yes. yolov3 is free and open source — you can use, modify and self-host it. Its AGPL-3.0 license is a strong copyleft: if you distribute a modified version — including offering it as a network service — your changes must be released under the same license.
yolov3 is available under the AGPL-3.0 license.
yolov3 is written mainly in Python.
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Measured from GitHub topics shared by both projects, weighted by how rare each topic is.