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AnnotateIt/rfdetr-small-coco-onnx
rfdetr-small-coco-onnx is a object detection model from AnnotateIt. Use it when you need objects located in an image. The card lists the license as apache-2.0.
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From the Hugging Face model README
AnnotateIt · Open the app · Models & datasets · Documentation
<!-- annotateit-brand:end -->Single-file ONNX exporting the raw model outputs (no NMS, no sigmoid, no top-k, no resizing — all pre/postprocessing stays outside the graph). Unofficial conversion; not endorsed by the upstream authors. Upstream-reported COCO AP: 53.0 (not re-measured here).
Class table is UNVERIFIED. RF-DETR emits a 91-slot DETR-family COCO layout (index 0 = background). Confirm the column count and no-object slot against this exact file (Netron + one known image) before relying on the labels.
| name | input |
| dtype / layout | float32, NCHW |
| shape | [1, 3, 512, 512] (static) |
Preprocessing: RGB → resize (stretch) to 512×512 → float32 ÷255 → ImageNet mean/std after ÷255 → HWC→CHW → batch dim.
| output | shape | meaning |
|---|---|---|
labels | [1, 300, 91] | raw class logits (apply sigmoid yourself) |
dets | [1, 300, 4] | normalized cxcywh |
91-class COCO (torchvision 91-slot), 300 queries, DETR-style set prediction — no NMS.
model.onnx SHA-256 | 850b7a24b573064f98f41605e4e400421420edf9b377e1704fa2079589cc3479 (114,439,180 bytes) |
Apache-2.0 (see LICENSE / NOTICE). Upstream: Roboflow RF-DETR.