---
license: apache-2.0
library_name: libreyolo
pipeline_tag: object-detection
tags:
  - object-detection
  - detr
  - transformer
datasets:
  - detection-datasets/coco
---

# LibreDETRr50dc5

Original DETR-DC5 with a dilated ResNet-50 backbone (41.5M parameters, 43.3
box AP on COCO val2017 in the upstream model zoo), repackaged for
[LibreYOLO](https://github.com/LibreYOLO/libreyolo). DC5 replaces the final
backbone stride with dilation, producing a stride-16 feature map.

```python
from libreyolo import LibreYOLO

model = LibreYOLO("LibreDETRr50dc5.pt")
results = model.predict("image.jpg")
```

LibreYOLO ships this family for inference and validation, plus ONNX and
TorchScript export. Training is not implemented. The deployment contract uses
a fixed 800x800 canvas; upstream COCO evaluation instead preserves aspect ratio
with a short side of 800 and a long side capped at 1333.

## Source

Derived from the official
[facebookresearch/detr](https://github.com/facebookresearch/detr) checkpoint
[`detr-r50-dc5-f0fb7ef5.pth`](https://dl.fbaipublicfiles.com/detr/detr-r50-dc5-f0fb7ef5.pth)
at commit `29901c51d7fe8712168b8d0d64351170bc0f83e0`.
Copyright (c) Facebook, Inc. and its affiliates. Licensed under the Apache
License 2.0.

Source checkpoint SHA-256:
`f0fb7ef52a6b0bbd87dce4a4b8569b509f03ad082f60f936dc5b7009940295d3`.

## Modifications

Checkpoint metadata wrap only. Learned parameter names and tensors are
unchanged. See `weights/convert_detr_weights.py` in the
[LibreYOLO source repository](https://github.com/LibreYOLO/libreyolo).

Strict state-dict loading succeeds with no missing or unexpected keys. Against
the pinned upstream implementation, identical input tensors produce exact
FP32 outputs (`max_abs_diff == 0.0`) for both `pred_logits` and `pred_boxes`.
DC5 is encoded in checkpoint metadata because it changes runtime dilation but
no parameter shape. LibreYOLO maps the sparse COCO category ids to its
contiguous 80-class public interface and does not apply NMS.

## License

Apache License 2.0. See the [`LICENSE`](./LICENSE) and [`NOTICE`](./NOTICE)
files in this repository.