LibreSSD300 weights
-----------------------

This product contains weights released by torchvision
(https://github.com/pytorch/vision) at commit 336d36e8db990a905498c73933e35231876e28bc.
Official checkpoint: ssd300_vgg16_coco-b556d3b4.pth
Copyright (c) Soumith Chintala 2016 and torchvision contributors.

The checkpoint has no separate per-object license file. Redistribution uses
the releasing project's BSD-3-Clause license on an explicitly disclosed
implied basis; this is not a publisher-confirmed checkpoint-specific grant.
Torchvision warns that pretrained-model terms may derive from training data
and users must determine permission for their use case.

The SSD backbone was initialized from VGG-16 feature weights released by the
Visual Geometry Group, University of Oxford, under Creative Commons
Attribution 4.0 International:
https://www.robots.ox.ac.uk/~vgg/research/very_deep/
https://creativecommons.org/licenses/by/4.0/
Creators: Karen Simonyan and Andrew Zisserman. Work: "Very Deep Convolutional
Networks for Large-Scale Image Recognition," ICLR 2015.

Torchvision modified the VGG graph for SSD and trained the detector on COCO.
LibreYOLO preserves the learned tensors unchanged and adds checkpoint metadata
only. The Oxford attribution records initialization lineage and does not claim
that Oxford licensed the complete SSD checkpoint.