yolov3

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[Ultralytics](https://www.ultralytics.com) YOLOv3 is a PyTorch implementation of the YOLOv3 (You Only Look Once, version 3) real-time [object detection](https://docs.ultralytics.com/tasks/detect) model. YOLOv3 frames detection as a single regression problem, predicting bounding boxes and class probabilities directly from full images in one forward pass — making it fast, accurate, and straightforward to train and deploy.

This repository packages the three classic YOLOv3 detection models — **YOLOv3**, **YOLOv3-SPP**, and **YOLOv3-tiny** — with training, validation, inference, and export tooling, and reuses shared utilities from the [`ultralytics`](https://github.com/ultralytics/ultralytics) package.

Find detailed guidance in the [Ultralytics YOLOv3 Docs](https://docs.ultralytics.com/models/yolov3). Get support via [GitHub Issues](https://github.com/ultralytics/yolov3/issues/new/choose), and join the conversation on [Discord](https://discord.com/invite/ultralytics), [Reddit](https://www.reddit.com/r/ultralytics/), and the [Ultralytics Forums](https: