WongKinYiu/ScaledYOLOv4
PyTorch implementation of Scaled-YOLOv4, a scalable object detection model achieving up to 55.8% AP on COCO.
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This repository implements Scaled-YOLOv4, a deep learning object detection architecture that scales from tiny to large model variants using cross-stage partial networks. It is built on PyTorch and provides pretrained weights across YOLOv4-P5, P6, and P7 model sizes with test-time augmentation support. The project targets computer vision practitioners deploying object detection systems.
Frequently asked
- What is WongKinYiu/ScaledYOLOv4?
- PyTorch implementation of Scaled-YOLOv4, a scalable object detection model achieving up to 55.8% AP on COCO.
- Is ScaledYOLOv4 open source?
- Yes — WongKinYiu/ScaledYOLOv4 is open source, released under the GPL-3.0 license.
- What language is ScaledYOLOv4 written in?
- WongKinYiu/ScaledYOLOv4 is primarily written in Python.
- How popular is ScaledYOLOv4?
- WongKinYiu/ScaledYOLOv4 has 2k stars on GitHub.
- Where can I find ScaledYOLOv4?
- WongKinYiu/ScaledYOLOv4 is on GitHub at https://github.com/WongKinYiu/ScaledYOLOv4.