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license: agpl-3.0
tags:
- rknn
- rknn2
- rockchip
- rk3576
- rk3588
---
# YOLO26-RKNN2
> **Looking for the Ultralytics RKNN exports?** See [YOLO26-RKNN2-Ultralytics](https://huggingface.co/HanzoHuang/YOLO26-RKNN2-Ultralytics).
YOLO26 RKNN exports for **RK3576** and **RK3588**, compiled with RKNN Toolkit2 2.3.2. Available tasks: detection, classification, depth, oriented bounding boxes, pose, instance segmentation, and semantic segmentation.
## 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).
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