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Deeds67/rfdetr-small
rfdetr-small is a object detection model from Deeds67. Use it when you need objects located in an image. It is set up for onnx. The card lists the license as apache-2.0.
ONNX export of RF-DETR Small by Roboflow, used by Gallery for pet detection.
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Updated Jul 24, 2026
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From the Hugging Face model README
ONNX export of RF-DETR Small by Roboflow, used by Gallery for pet detection.
Unmodified COCO-pretrained weights. No fine-tuning.
| Path | Description |
|---|---|
detection/model.onnx | RF-DETR Small, opset 17, batch 1 |
Getting any of this wrong degrades output silently rather than erroring.
Input — input, shape [1, 3, 512, 512], float32:
[0, 1][0.485, 0.456, 0.406], std [0.229, 0.224, 0.225]Output — two tensors:
| Name | Shape | Meaning |
|---|---|---|
dets | [1, 300, 4] | Boxes as cx, cy, w, h — normalised to [0, 1] |
labels | [1, 300, 91] | Class logits, pre-sigmoid |
Apply sigmoid to labels, then threshold. Classes use the 91-class COCO id space
(90 categories plus background), not the contiguous 80-class space YOLO uses — so
bird=16, cat=17, dog=18, horse=19, sheep=20, cow=21.
The 300 queries are already deduplicated. No NMS step is required.
Apache-2.0, inherited from RF-DETR. See the upstream repository for full terms.