Datasets & licensing

Longpipe is fully open source, trained on open source datasets. Specifically:

License

SDK source code is MIT-licensed — see LICENSE.

The pre-trained model weights distributed via cdn.longpipe.dev (and any mirrored copies) are also MIT-licensed — see WEIGHTS_LICENSE. You’re free to self-host them inside other open-source or commercial projects under MIT-compatible terms.

Training data and pretrained weights

Longpipe’s pre-trained weights are released under MIT (see WEIGHTS_LICENSE). They were trained on:

• P3M-10k — MIT
• AISegment Matting Human Datasets — MIT (upstream license)
• COCO — CC BY 4.0
• OpenImages — CC BY 4.0
• Synthetic images generated with Z-Image (text-to-image) — Apache 2.0
• A custom dataset of short webcam videos collected via Prolific, from participants who gave explicit, informed consent for their footage to be used to train an open-source virtual-background model. Faces are blurred before training; the raw videos are stored privately (EU), never distributed, and deleted after the training window.
• Pseudo-labels generated by BiRefNet (MIT), used as a teacher model

The encoder is initialized from a pre-trained EfficientNet-Lite backbone — Apache 2.0.

As is standard for trained models, the released weights are not a redistribution of any training image or video — they are published under MIT.