---
license: gpl-3.0
library_name: onnxruntime
pipeline_tag: object-detection
tags:
  - open-vocabulary-detection
  - onnx
  - webgpu
  - browser
  - wedetect
---

# WeDetect-tiny — browser ONNX (int8)

Browser-ready **int8 ONNX** export of **WeDetect-tiny**, an open-vocabulary object detector
(text-prompted boxes). Two towers run client-side via `onnxruntime-web` (WebGPU, WASM fallback):

| file | size | role |
|---|---|---|
| `wedetect_tiny_language_int8.onnx` | ~279 MB | XLM-R text encoder → prompt features (once per prompt set) |
| `wedetect_tiny_vision_int8.onnx` | ~38 MB | image encoder + detection head (per image) |

Pipeline: prompts → XLM-R tokenizer (`Xenova/xlm-roberta-base`) → `language.onnx` → text features;
image → letterbox 640 → `vision.onnx` → decoded xyxy + sigmoid scores → score filter + class-agnostic
NMS + rescale.

## License — GPL-3.0

WeDetect is **GPL-3.0**. These ONNX weights are a derived export of the upstream GPL model and are
therefore distributed under **GPL-3.0-only**. Using them keeps you within GPL terms.

**Upstream / attribution:** WeDetect by **WeChatCV** — https://github.com/WeChatCV/WeDetect
(GPL-3.0). This repository redistributes an ONNX/int8 export of that model with no change to its
license. Corresponding source (model definition + training/export pipeline) lives in the upstream
project; the browser export/decoder is in the momoto-plugins repo (also GPL-3.0):
https://github.com/sweetlhare/momoto-plugins (`src/copyleft/wedetect.js`).

## How it's used

Loaded at runtime by the **momoto** WeDetect plugin (`momoto-plugins/src/copyleft/wedetect.js`),
which points `meta.assets` at the two ONNX URLs here. The plugin is opt-in and never bundled into a
closed build — GPL bytes are fetched from this public GPL host at the user's choice, keeping the
closed core clear of copyleft. Self-hosters can override the asset URLs.

Resolve URLs (once uploaded):
- `https://huggingface.co/sweetlhare/wedetect-tiny-onnx/resolve/main/wedetect_tiny_vision_int8.onnx`
- `https://huggingface.co/sweetlhare/wedetect-tiny-onnx/resolve/main/wedetect_tiny_language_int8.onnx`