ultralytics/yolov3
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
Implements multi-scale feature pyramids and anchor-based detection with spatial attention mechanisms for improved accuracy on small objects. Provides built-in training pipelines with data augmentation, mixed-precision support, and batch normalization optimization across PyTorch, ONNX, CoreML, and TFLite export targets for seamless deployment across cloud and edge devices.
10,563 stars. Actively maintained with 7 commits in the last 30 days.
Stars
10,563
Forks
3,448
Language
Python
License
AGPL-3.0
Category
Last pushed
Mar 10, 2026
Commits (30d)
7
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