license: mit
tags:
- image-segmentation
- background-removal
- salient-object-detection
- image-processing
- onnx
- webgpu
- webassembly
RemoveG is a browser-based AI image background remover designed to process images locally on the user's device.
🌐 Website
✨ Features Automatic image background removal Client-side image processing WebAssembly and WebGPU acceleration Support for PNG, JPG, JPEG, and WebP images Designed for fast browser-based inference No account required for basic usage Privacy-focused image processing 🧠 Model
RemoveG uses the IS-Net / InSPyReNet approach for salient object detection and foreground extraction.
The model can be useful for:
Product photography Portrait images E-commerce images Logos and graphics Signatures General foreground extraction ⚡ Browser Inference
The RemoveG web application uses ONNX Runtime Web to run machine-learning inference directly in the browser.
Depending on browser and hardware support, inference can utilize:
WebGPU WebAssembly Multi-threaded WebAssembly
This approach allows image processing without requiring a traditional remote image-processing API.
🔒 Privacy
RemoveG is designed with privacy in mind. Image processing is performed on the user's device through browser-based inference.
Learn more at:
🛠️ Technology Component Technology Background Removal IS-Net / InSPyReNet Model Runtime ONNX Runtime Web GPU Acceleration WebGPU CPU Runtime WebAssembly Processing Client-side Output Formats PNG, JPG, JPEG, WebP 📌 Use Cases E-commerce
Remove backgrounds from product images to create clean product photography.
Portraits
Create transparent-background profile pictures, headshots, and other portraits.
Graphic Design
Extract foreground objects for thumbnails, advertisements, presentations, and social media graphics.
🔗 Learn More
Visit RemoveG.io to try the browser-based image background remover.
⚠️ Model Information
This project uses the IS-Net / InSPyReNet approach for image salient-object detection. Please refer to the original model implementation and its associated license for details about the underlying model.
📄 Keywords
background-removal image-segmentation IS-Net InSPyReNet ONNX ONNX-Runtime-Web WebGPU WebAssembly image-processing foreground-extraction browser-AI