notAI-tech/NudeNet

Health v2 · maintenance only

Adoption not part of the score

2433 stars · 433 forks observed · 2026-08-28

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

NudeNet is a lightweight Python library for nudity detection in images, built on YOLOv8 models running via ONNX Runtime. It detects exposed and covered body parts with bounding boxes and can censor flagged regions, with an optional Docker-based inference server.

Use cases

• detect nudity in uploaded images
• moderate user-generated content for NSFW images
• censor exposed body parts in images before publishing
• classify images as safe or unsafe for a platform
• run nudity detection locally without sending images to a server
• batch-scan a folder of images for explicit content

When to choose

• you need fast, lightweight NSFW image detection with fine-grained body-part labels
• you want local/on-premise detection so images never leave your infrastructure
• you need both detection and automatic censoring in one package
• you want a simple pip-installable model with ONNX and PyTorch weights available

When to avoid

• you need video or live-stream moderation rather than still images
• you need text-based NSFW classification
• you require a commercially permissive license - the repo is AGPL-3.0
• you need actively developed features - the project is seeking maintainers

Facets

library · maturity maintenance

machine-learning image-processing computer-vision machine-learning image-processing privacy python cross-platform nsfw-detection nudity-detection object-detection yolo onnx content-moderation censoring docker

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markdown · JSON · MCP: product_card(name="notAI-tech/NudeNet")