LibreYOLO Web — Model Zoo
Pre-exported ONNX models for libreyolo-web, the browser-based multi-family YOLO detection library.
Usage
npm install libreyolo-web onnxruntime-web
import { loadModel } from 'libreyolo-web';
// Auto-downloads from this repo, zero config
const model = await loadModel('yolox-nano');
const result = await model.predict(imageElement);
Available Models
YOLOX (letterbox + BGR + 0-255)
| Name | Input | Size | File |
|---|---|---|---|
yolox-nano |
416 | 3.6MB | yolox_n.onnx |
yolox-tiny |
416 | 19MB | yolox_t.onnx |
yolox-small |
640 | 34MB | yolox_s.onnx |
yolox-medium |
640 | 97MB | yolox_m.onnx |
yolox-large |
640 | 207MB | yolox_l.onnx |
yolox-xlarge |
640 | 378MB | yolox_x.onnx |
YOLO9 (resize + RGB + /255)
| Name | Input | Size | File |
|---|---|---|---|
yolo9-tiny |
640 | 8MB | yolo9_t.onnx |
yolo9-small |
640 | 28MB | yolo9_s.onnx |
yolo9-medium |
640 | 77MB | yolo9_m.onnx |
yolo9-compact |
640 | 97MB | yolo9_c.onnx |
RF-DETR (resize + ImageNet norm, no NMS)
| Name | Input | Size | File |
|---|---|---|---|
rfdetr-nano |
384 | 103MB | rfdetr_n.onnx |
rfdetr-small |
512 | 109MB | rfdetr_s.onnx |
rfdetr-medium |
576 | 115MB | rfdetr_m.onnx |
rfdetr-large |
704 | 116MB | rfdetr_l.onnx |
Training
All models were trained on COCO using libreyolo (Python) and exported to ONNX with model.export(format='onnx', simplify=True).
License
MIT