yolov3
PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation,
About this project
中文 한국어 日本語 Русский Deutsch Français Español Português Türkçe Tiếng Việt العربية Ultralytics YOLOv3 is a PyTorch implementation of the YOLOv3 (You Only Look Once, version 3) real-time object detection 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 package. Find detailed guidance…
Technologies
Project health
GitHub
Reviews
Built by
Maintain ultralytics/yolov3? Claiming verifies admin access through your GitHub account and gives you control of this listing.
