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rfdetr-nano
open-noodle/rfdetr-nano
rfdetr-nano is a object detection model from open-noodle. 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 Nano by Roboflow, used by Gallery for pet detection.
Access
Public
Updated Sep 4, 2026
Repo size
108 MB
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Repo makeup
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.onnx108 MB · 100%
At a glance
- Task
- Object Detection
- Library
- onnx
- License
- apache-2.0
- Access
- Public
- Created
- Sep 4, 2026
- Updated
- Sep 4, 2026
- SHA
- 1618db5f
Model card
From the Hugging Face model README
RF-DETR Nano (ONNX) — pet detection for Gallery
ONNX export of RF-DETR Nano by Roboflow, used by Gallery for pet detection.
Unmodified COCO-pretrained weights. No fine-tuning.
Files
| Path | Description |
|---|---|
detection/model.onnx | RF-DETR Nano, opset 17, batch 1 |
Inference contract
Getting any of this wrong degrades output silently rather than erroring.
Input — input, shape [1, 3, 384, 384], float32:
- Decode to RGB (not BGR)
- Resize to 384×384 — plain square resize, not letterboxed
- Scale to
[0, 1] - Normalise with ImageNet statistics: mean
[0.485, 0.456, 0.406], std[0.229, 0.224, 0.225] - Transpose HWC → CHW, add batch dimension
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.
License
Apache-2.0, inherited from RF-DETR. See the upstream repository for full terms.
- Task
- Object Detection
- Library
- onnx
- License
- apache-2.0
- Created
- Sep 4, 2026
- Updated
- Sep 4, 2026