#48 · Primary category： Computer Vision
yolov3
PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.
Project last updated：08/28/26
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10.6K
Forks
3.4K
Contributors
55
License
AGPL-3.0
Why we included this project
YOLOv3 has been around long enough that most teams have heard of it, but this PyTorch port is what makes it practical to use today. Detection happens in a single forward pass that outputs bounding boxes and class probabilities straight from the full image, which keeps it fast enough for latency-sensitive work on edge devices and cameras. The repo covers the whole pipeline, not just inference: you can train custom models on your own data, validate the results, and export to ONNX, TensorRT, or CoreML for deployment. The documentation and notebooks lower the barrier for teams new to object detection, and the codebase has the maturity to hold up under real workloads.
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