Credits & licences.

Background-removal model

The neural network used for foreground / background segmentation is derived from the Highly Accurate Dichotomous Image Segmentation (DIS) project by Xuebin Qin and collaborators, published at ECCV 2022. The model file is licensed under the MIT licence:

MIT License

Copyright (c) 2022 Xuebin Qin

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.

Upstream project: github.com/xuebinqin/DIS

Open-source software

The application itself is built on a stack of open-source libraries released under permissive licences (MIT, Apache 2.0, BSD-3-Clause). Notable dependencies include React, Hono, sharp (libvips), Better Auth, Tailwind CSS, Vite, Framer Motion, and the runtime that executes the model. Their respective licence texts are included in the deployed package's node_modules tree.