pjreddie/darknet

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

26492 stars · 21016 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Darknet is an open-source neural network framework written in C and CUDA, best known as the original home of the YOLO real-time object detection system. It supports CPU and GPU computation and includes tools for image classification, object detection, and training custom networks.

Use cases

• run real-time object detection with yolo
• train a custom object detector on my own dataset
• classify images with resnet on cpu or gpu
• lightweight c neural network framework without python dependencies
• detect objects in images and video from the command line
• train an image classifier from scratch

When to choose

• you want a fast, dependency-light C/CUDA framework for YOLO-style object detection
• you need real-time inference on CPU or NVIDIA GPU without a Python stack
• you want to reproduce or build on classic YOLOv1-v4 research

When to avoid

• you need modern tooling, Python APIs, or active development - consider PyTorch-based YOLO implementations
• you need non-vision tasks like transformers or large-scale training
• you require a permissive license - the licensing here is non-standard

Facets

framework · maturity maintenance

deep-learning machine-learning computer-vision image-processing gpu-computing deep-learning computer-vision machine-learning gpu-computing cpp yolo object-detection cuda neural-networks c real-time-inference linux macos gpu

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markdown · JSON · MCP: product_card(name="pjreddie/darknet")