IS-Net / DIS — X. Qin, H. Dai, X. Hu, D.-P. Fan, L. Shao, L. Van Gool, “Highly Accurate Dichotomous Image Segmentation”, ECCV 2022. Model weights: github.com/xuebinqin/DIS, licensed under the Apache License 2.0.

IS-Net ONNX exports — xrds/isnet-general-onnx-int8 (Fast) and imgly/isnet-general-onnx (Best edges), MIT License:

MIT License

Copyright (c) imgly GmbH

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Transformers.js — Copyright Hugging Face, github.com/huggingface/transformers.js, Apache License 2.0.

ONNX Runtime Web — Copyright (c) Microsoft Corporation, github.com/microsoft/onnxruntime, MIT License.

The software is loaded from jsDelivr and the model from Hugging Face the first time you use the tool; your images are processed on your device and never uploaded.