| --- |
| 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). |
| |
