philipperemy/yolo-9000

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1194 stars · 300 forks observed · 2026-08-28

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

A packaging of YOLO9000 (YOLOv2), a real-time object detection model that can detect over 9,000 object classes, built around the Darknet framework with pre-trained weights. It provides build instructions and CLI commands to run detection on images and videos on CPU or GPU.

Use cases

• detect objects in images in real time
• run yolo9000 pretrained model on 9000 classes
• build darknet with gpu support for object detection
• detect objects in a video with yolo
• reproduce cvpr17 yolo9000 results

When to choose

• you need real-time detection across a very large set of classes with pre-trained weights
• you want the original Darknet-based YOLOv2 implementation

When to avoid

• you need a modern, actively maintained detector like YOLOv5/v8 or PyTorch-based tooling
• you need training pipelines rather than inference with provided weights

Facets

library · maturity maintenance

computer-vision image-processing deep-learning machine-learning computer-vision deep-learning machine-learning image-processing windows cpp yolo object-detection darknet real-time-detection yolo9000 pretrained-weights linux macos gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="philipperemy/yolo-9000")