File size: 1,170 Bytes
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license: apache-2.0
library_name: onnxruntime-web
pipeline_tag: image-segmentation
tags:
- background-removal
- isnet
- onnx
- webgpu
- wasm
- browser
---
# ISNet (int8) for browser background removal
ISNet segmentation model quantized to int8 (44 MB), exported to ONNX and split
into three parts (`isnet-w8.part00–02`) so every file stays under GitHub's size
limit. Reassemble in the browser with `new Blob(parts)` and load with
[ONNX Runtime Web](https://onnxruntime.ai/docs/tutorials/web/), WASM or WebGPU.
Input 1024×1024 RGB, output single-channel alpha matte.
## Where it runs
- Live demo (WASM vs WebGPU benchmark): [Space](https://huggingface.co/spaces/chenjindu/browser-remove-background)
- Production tool, free, no upload: **[https://is.tools/remove-background](https://is.tools/remove-background)**
- Source: [github.com/chenjindu/browser-remove-background](https://github.com/chenjindu/browser-remove-background)
Part of [**is.tools**](https://is.tools) — browser-side PDF, image, text and
encoding tools where the file never leaves your device.
## License
Apache-2.0 (model weights and code).
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