Initial upload: LibreSSD300 (BSD-3-Clause implied, VGG attribution)

LICENSE

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+BSD 3-Clause License
+
+Copyright (c) Soumith Chintala 2016, 
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+* Redistributions of source code must retain the above copyright notice, this
+  list of conditions and the following disclaimer.
+
+* Redistributions in binary form must reproduce the above copyright notice,
+  this list of conditions and the following disclaimer in the documentation
+  and/or other materials provided with the distribution.
+
+* Neither the name of the copyright holder nor the names of its
+  contributors may be used to endorse or promote products derived from
+  this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

LibreSSD300.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:2f6f04f6a25108dc927932f95be78d254f6566f26b543f399c4efae59bfb257d
+size 142595625

NOTICE

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+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.

README.md

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+---
+license: bsd-3-clause
+library_name: libreyolo
+pipeline_tag: object-detection
+datasets:
+  - detection-datasets/coco
+tags:
+  - object-detection
+  - ssd
+  - torchvision
+  - libreyolo
+---
+
+# LibreSSD300
+
+SSD300 with a VGG16 backbone, repackaged for LibreYOLO as an inference-only
+historic model. Input is fixed at 300 x 300.
+
+```python
+from libreyolo import LibreYOLO
+
+model = LibreYOLO("LibreSSD300.pt")
+results = model.predict("image.jpg")
+```
+
+## Source
+
+Derived from [pytorch/vision](https://github.com/pytorch/vision) at commit
+[`336d36e8db990a905498c73933e35231876e28bc`](https://github.com/pytorch/vision/commit/336d36e8db990a905498c73933e35231876e28bc).
+Copyright (c) Soumith Chintala 2016 and torchvision contributors. The source
+implementation is BSD-3-Clause.
+
+Official checkpoint: [ssd300_vgg16_coco-b556d3b4.pth](https://download.pytorch.org/models/ssd300_vgg16_coco-b556d3b4.pth)  
+SHA-256: `b556d3b43ab6c3f63d81bfb8835fe8756ac22da664357da100dccf96b6a6b42d`  
+Published COCO val2017 box mAP: 25.1.
+
+### VGG-16 initialization lineage
+
+The torchvision SSD recipe initializes its backbone from VGG-16 feature
+weights released by the [Visual Geometry Group, University of
+Oxford](https://www.robots.ox.ac.uk/~vgg/research/very_deep/) under
+[CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). Attribution:
+Karen Simonyan and Andrew Zisserman, "Very Deep Convolutional Networks for
+Large-Scale Image Recognition," ICLR 2015.
+
+## Modifications
+
+Torchvision modified the VGG graph for SSD and trained the detector on COCO.
+LibreYOLO adds v1.0 checkpoint metadata; learned tensors and state-dict keys
+are unchanged. The native graph has exact eager parity for preprocessing, both
+raw heads, default boxes, and final detections. ONNX Runtime prediction parity
+is also verified. See `weights/convert_ssd_weights.py` in the
+[LibreYOLO source repository](https://github.com/LibreYOLO/libreyolo).
+
+## License
+
+The checkpoint publisher did not attach a separate per-object license file.
+This mirror applies the releasing project's BSD-3-Clause license on an
+**implied**, not publisher-confirmed, basis. Torchvision warns that pretrained
+models may have licenses or terms derived from training data and that users
+must determine whether they have permission for their use case. COCO
+annotations are CC BY 4.0; source images retain their individual Flickr terms.
+The Oxford attribution above records the VGG initialization lineage and does
+not claim that Oxford licensed the complete SSD checkpoint. See
+[`LICENSE`](./LICENSE) and [`NOTICE`](./NOTICE).