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Nsfwjs | Awesome Repos

infiniterednsfwjs

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8,908 stars·590 forks·TypeScript·MIT·0 viewsnsfwjs.com↗

Nsfwjs

NSFW detection on the client-side via TensorFlow.js

Features

NSFW Classifications - Ships a pre-trained model that classifies images into five NSFW categories for content moderation.

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NSFW Classifiers - Classifies images as porn, hentai, sexy, neutral, or drawing using a TensorFlow.js model running in the browser.

Client-Side Inference - Executes a pre-trained convolutional neural network entirely in the browser using TensorFlow.js.

NSFW Classifiers - Classifies images as safe or not safe for work directly in the browser using a pre-trained TensorFlow.js model.

TensorFlow.js Models - A pre-trained neural network that categorizes images into NSFW and safe content classes using TensorFlow.js.

Image Classification - Provides a pre-trained neural network that assigns NSFW category labels to images with confidence scores.

Image Data Preprocessing - Converts raw image data into normalised tensor inputs with resizing and channel reordering for the neural network.

Bundled Weight Embeddings - Ships pre-trained model weights embedded in the package for instant offline classification.

Client-Side Model Loading - Loads a pre-trained neural network model from bundled definitions, hosted URLs, or local paths for classification.

Content Moderation Tools - Moderates image content directly in the browser without sending images to a server for analysis.

NSFW Classifiers - Classifies images for NSFW content on the server side using TensorFlow.js Node backend.

NSFW Classification - Runs NSFW image classification on a Node.js backend for API or server-side content moderation workflows.

Model Lifecycle Management - Provides explicit load, predict, and dispose methods to control memory and tensor resource allocation.

Model Architecture Selection - Offers multiple bundled model architectures like MobileNetV2 and InceptionV3 for users to choose from.

NSFW Content Filters - Integrates NSFW image classification into React Native mobile apps for on-device content filtering.

Pre-trained Models - Loads and selects between different pre-trained model architectures like MobileNetV2 or InceptionV3 for image classification.

Model Weight Caching - Caches loaded model artifacts in IndexedDB to skip re-downloading on subsequent page visits.

Server-Side Image Processing - Runs NSFW classification model on the server using TensorFlow.js Node backend for API workflows.

NSFW Detection Libraries - Detects adult content in images on mobile devices using TensorFlow.js for React Native applications.

On-Device Classifications - Integrates the NSFW classifier into React Native mobile apps for on-device content filtering.

Confidence Scoring - Returns a ranked list of category labels with floating-point confidence values from the softmax output layer.

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