ModelListedExternal

Libreyolo Web

Pre-exported ONNX models for libreyolo-web, the browser-based multi-family YOLO detection library.

Sourcehuggingface.co/LibreYOLO/libreyolo-web/tree/256376ac13978e325c048240a1f6341618f1dc8d

KindOtherVersionRevision 256376a

Model source

Kind: Other
File size: 3.60–378 MB
Version: vRevision 256376a
Updated: Sep 27, 2026
Downloads: 0
Tasks: Object detection
Source: Hugging Face

Source description

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

Sources

1 source

Hugging FacePrimaryVersion 256376ac13978e325c048240a1f6341618f1dc8d

huggingface.co/LibreYOLO/libreyolo-web/tree/256376ac13978e325c048240a1f6341618f1dc8d

Verified Sep 27

Model artifacts

14 artifacts

rfdetr_l.onnx

onnx · 116 MB · SHA-256 c1f795a5910f…a351 · Hugging Face

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rfdetr_m.onnx

onnx · 115 MB · SHA-256 c7ec9b20ccb2…c4f4 · Hugging Face

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rfdetr_n.onnx

onnx · 103 MB · SHA-256 045ab8cc3ea1…75f1 · Hugging Face

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rfdetr_s.onnx

onnx · 109 MB · SHA-256 e24bf1ed8ee4…527e · Hugging Face

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yolo9_c.onnx

onnx · 97.4 MB · SHA-256 f921e621e107…a104 · Hugging Face

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yolo9_m.onnx

onnx · 76.9 MB · SHA-256 ca6f635ee375…0117 · Hugging Face

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yolo9_s.onnx

onnx · 27.8 MB · SHA-256 6c2cf3a04f01…0bc9 · Hugging Face

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yolo9_t.onnx

onnx · 8.05 MB · SHA-256 628cc6f13990…733a · Hugging Face

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yolox_l.onnx

onnx · 207 MB · SHA-256 2b51de6e3082…4536 · Hugging Face

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yolox_m.onnx

onnx · 96.7 MB · SHA-256 220c5fd6f336…11b2 · Hugging Face

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yolox_n.onnx

onnx · 3.60 MB · SHA-256 597cc1daf8c7…2e15 · Hugging Face

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yolox_s.onnx

onnx · 34.3 MB · SHA-256 b10957d5b66e…c081 · Hugging Face

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yolox_t.onnx

onnx · 19.4 MB · SHA-256 79cae9d3182d…4670 · Hugging Face

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yolox_x.onnx

onnx · 378 MB · SHA-256 3229f163115b…ebaf · Hugging Face

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Source excerpts

2 excerpts

ReadmeSep 27huggingface.co/LibreYOLO/libreyolo-web

--- library_name: onnx tags: - object-detection - yolo - yolox - yolo9 - rfdetr - onnxruntime-web - webgpu - browser - libreyolo license: mit --- # LibreYOLO Web — Model Zoo Pre-exported ONNX models for [libreyolo-web](https://github.com/xuban-ceccon/libreyolo-web), the browser-based multi-family YOLO detection library. ## Usage ```bash npm install libreyolo-web onnxruntime-web ``` ```typescript 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](https://github.com/LibreYOLO/libreyolo) (Python) and exported to ONNX with `model.export(format='onnx', simplify=True)`. ## License MIT

NoteSep 27huggingface.co/LibreYOLO/libreyolo-web

Source context: 0 downloads · 0 likes · Pipeline object-detection · Library onnx · Repo LibreYOLO/libreyolo-web