---
license: agpl-3.0
tags:
- rknn
- rknn2
- rockchip
- rk3576
- rk3588
---

# YOLOv10-RKNN2

> **Looking for the Ultralytics RKNN exports?** See [YOLOv10-RKNN2-Ultralytics](https://huggingface.co/HanzoHuang/YOLOv10-RKNN2-Ultralytics).

YOLOv10 RKNN exports for **RK3576** and **RK3588**, compiled with RKNN Toolkit2 2.3.2. Available tasks: detection.

## Choose a model

Models are organized by toolkit version, task, variant, target chip, and precision:

```text
models/v<toolkit-version>/<task>/<variant>/<chip>/<precision>/
```

Download `model.rknn` and `metadata.yaml` from the same directory. The [manifest](manifest.json) lists the available models and checksums.

## Conversion

Detection models were converted on Seeed-Dev with RKNN Toolkit2 2.3.2 using ONNX inputs supplied by the Rockchip Model Zoo. The [manifest](manifest.json) records input ONNX and output RKNN checksums. The ONNX graphs and Model Zoo download URLs are in [source/onnx](tree/main/source/onnx); the graphs declare their Ultralytics exporter versions and AGPL-3.0 license.

## Source and license

Original checkpoints, conversion scripts, and provenance are in [source](tree/main/source). The models and checkpoints are distributed under AGPL-3.0; see [LICENSE](LICENSE) and [checkpoint details](source/weights.json).