NSFW Detector

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Introduction

This is an NSFW content detector based on Falconsai/nsfw_image_detection.
Model: google/vit-base-patch16-224-in21k

Compared to other common NSFW detectors, this detector has the following advantages:

• AI-based, providing better accuracy.
• Supports CPU-only inference, can run on most servers.
• Automatically utilizes multiple CPUs to accelerate inference.
• Simple classification with only two categories: nsfw and normal.
• Provides service via API, making it easier to integrate with other applications.
• Docker-based deployment, suitable for distributed deployment.
• Purely local, protecting your data security.

Performance Requirements

Running this model requires up to 2GB of memory. No GPU support is needed.
When handling a large number of requests simultaneously, more memory may be required.

Supported File Types

This detector supports checking the following file types:

• ✅ Images (supported)
• ✅ PDF files (supported)
• ⏳ Videos (planned)
• ⏳ Files in compressed packages (planned)

Quick Start

Start the API Server

docker run -d -p 3333:3333 --name nsfw-detector vxlink/nsfw_detector:latest

Use the API for Content Checking

# Detect images
curl -X POST -F "file=@/path/to/image.jpg" http://localhost:3333/check
# Detect PDF files
curl -X POST -F "file=@/path/to/file.pdf" http://localhost:3333/pdf

Public API

If you just want to try it out or don't want to deploy it yourself, you can use the public API service provided by vx.link.

# Detect images
curl -X POST -F "file=@/path/to/image.jpg" https://vx.link/public/nsfw
# Detect PDF files
curl -X POST -F "file=@/path/to/file.pdf" https://vx.link/public/nsfw

• Your submitted images will not be saved.
• Please note that the API rate limit is 30 requests per minute.

License

This project is open-source under the Apache 2.0 license.