| LibreDeepLabv3r50-sem weights | |
| ----------------------------- | |
| This product contains weights released by torchvision | |
| (https://github.com/pytorch/vision) at commit 336d36e8db990a905498c73933e35231876e28bc. | |
| Official checkpoint: deeplabv3_resnet50_coco-cd0a2569.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. COCO annotations are | |
| CC BY 4.0 and source images retain their individual Flickr terms. | |
| Conversion removes only the training-time auxiliary classifier and adds | |
| LibreYOLO metadata. Every retained learned tensor is unchanged. | |