Runs using ONNX Runtime JavaScript plugin developed by Microsoft for browser platforms: ❝…cross-platform inference and training machine-learning accelerator❞.
「✓」 Web application runs offline and is Internet independent
「✓」 File upload interface with Drag & Drop Functionality
「✓」 4 model options:
「✓」 Image formats accepted:
「✓」 Export processed image output
「✓」 Includes 'Reset' 🗘 button
「✓」 File upload interface with Drag & Drop Functionality
「✓」 4 model options:
u2netp.onnx u2net.onnx u2net_human_seg.onnx silueta.onnx「✓」 Image formats accepted:
image/png image/jpeg image/jpg image/webp「✓」 Export processed image output
「✓」 Includes 'Reset' 🗘 button
Note that models u2net.onnx and u2net_human_seg.onnx are not uploaded due to their huge file sizes.
| (Original) | U²-Net | U²-Net - Portrait matting | U²-Net - Human Segmentation | Silueta |
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| --- | u2net.onnx | u2netp.onnx | u2net_human_seg.onnx | silueta.onnx |
Article :: Link :: Navigating The AI/ML Landscape In Web Development
Article :: Link :: Deploy Math OCR ONNX Model In Python Flask Web App
- Adapted from removebg-onnx-web-example by pstwh
- Original works of background removal models used (
u2net) for segmentation can be found at U²Net
This project is licensed under the MIT License.
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