WongKinYiu/ScaledYOLOv4

Health v2 · maintenance only

Flags: prerelease_only

Adoption not part of the score

2024 stars · 563 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

PyTorch implementation of Scaled-YOLOv4, which scales the Cross Stage Partial Network (CSP) across model sizes from tiny to P7 for object detection. It provides pretrained weights, training, and evaluation code for YOLOv4-tiny, YOLOv4-CSP, and YOLOv4-large variants.

Use cases

• train a custom YOLOv4 object detection model
• run real-time object detection on images and video
• detect small objects with high-resolution YOLOv4-P6/P7 models
• deploy a lightweight YOLOv4-tiny detector on edge devices
• benchmark YOLOv4 accuracy on COCO

When to choose

• you need state-of-the-art YOLOv4-family detectors with pretrained COCO weights
• you want scalable detection models from tiny to very large (P5-P7)
• you are reproducing the Scaled-YOLOv4 paper results

When to avoid

• you want the actively maintained YOLOv5/YOLOv7/YOLOv8 ecosystem instead
• you need non-GPL licensing (project is GPL-3.0)
• you need classification or segmentation rather than detection

Facets

library · maturity maintenance

machine-learning computer-vision image-processing computer-vision deep-learning machine-learning python object-detection yolo pytorch scaled-yolov4 yolov4-csp yolov4-tiny real-time-detection gpu linux

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