bubbliiiing/yolov4-pytorch

Health v2 · maintenance only

Adoption not part of the score

2160 stars · 595 forks observed · 2026-08-28

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

A PyTorch implementation of the YOLOv4 object detection model with full training, prediction, and evaluation scripts. It supports training custom datasets in VOC format, multi-GPU training, and pretrained COCO/VOC weights.

Use cases

• train a custom object detection model on my own dataset
• run YOLOv4 object detection in PyTorch
• detect objects in images and videos with YOLOv4
• fine-tune YOLOv4 on a VOC-format dataset
• evaluate object detection mAP on a test set
• learn how YOLOv4 works from annotated source code

When to choose

• you want a readable, well-commented YOLOv4 implementation for training custom detectors
• you need pretrained COCO or VOC weights with simple predict/train scripts
• you are learning object detection internals like Mosaic augmentation, CIOU loss, and PAN/SPP

When to avoid

• you need the latest YOLO versions or state-of-the-art accuracy (consider YOLOv7/v8 or Ultralytics)
• you need production-grade packaging, APIs, or long-term maintenance
• you cannot use older PyTorch versions the codebase was built around

Facets

library · maturity maintenance

machine-learning computer-vision image-processing deep-learning computer-vision deep-learning machine-learning image-processing python cross-platform yolov4 object-detection pytorch darknet53 training inference custom-dataset tutorial gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="bubbliiiing/yolov4-pytorch")