YOLOv10-RKNN2 / README.md
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metadata
license: agpl-3.0
tags:
  - rknn
  - rknn2
  - rockchip
  - rk3576
  - rk3588

YOLOv10-RKNN2

Looking for the Ultralytics RKNN exports? See 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:

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

Download model.rknn and metadata.yaml from the same directory. The manifest 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 records input ONNX and output RKNN checksums. The ONNX graphs and Model Zoo download URLs are in 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. The models and checkpoints are distributed under AGPL-3.0; see LICENSE and checkpoint details.