| # facenet — licensing scope notice | |
| This distribution retains its existing `license: mit` metadata, and the [facenet-pytorch implementation](https://github.com/timesler/facenet-pytorch/blob/master/LICENSE.md) is MIT. The shipped file is `facenet_20180402_114759_vggface2.pth`, corresponding to the **VGGFace2-trained 20180402-114759** checkpoint in the [upstream checkpoint table](https://github.com/davidsandberg/facenet#pre-trained-models). CASIA-WebFace is a separate upstream checkpoint; this artifact must not be described as jointly trained on both. | |
| [VGGFace2](https://www.robots.ox.ac.uk/~vgg/data/vgg_face2/) data/source-image rights and the exact pretrained-weight grant require separate consideration from the implementation license. Selecting FaceNet or reading an MIT badge does not establish unconditional commercial clearance. | |
| This notice clarifies scope; it does not revoke existing valid grants or create a new license for third-party material. Dataset and teacher terms do not automatically relicense every trained artifact or inference output. A software license or model-card badge alone does not establish all checkpoint redistribution or commercial-use permissions. | |