yolov3 and keras-yolo3

These two tools are competitors, as both repositories provide implementations for YOLOv3 object detection, with one offering a more comprehensive PyTorch-based solution with various export formats and the other focusing on a Keras-based approach for training and detection.

yolov3
71
Verified
keras-yolo3
51
Established
Maintenance 20/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Stars: 10,563
Forks: 3,448
Downloads: —
Commits (30d): 7
Language: Python
License: AGPL-3.0
Stars: 1,611
Forks: 848
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
No Package No Dependents
Stale 6m No Package No Dependents

About yolov3

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.

About keras-yolo3

experiencor/keras-yolo3

Training and Detecting Objects with YOLO3

Related comparisons

yolov3 and yolov5 yolov3 and tensorflow-yolov3 yolov3 and yolov3-tf2 yolov3 and tensorflow-yolo-v3 yolov3 and Yolo-v2-pytorch yolov3 and yolo2-pytorch

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