YOLO11-RKNN2

Rockchip-guided and custom YOLO exports for RK3576 and RK3588. Converted with RKNN Toolkit2 2.3.2.

Available tasks: detect, classify, obb, pose, segment.

Download model.rknn and metadata.yaml from the same folder under models/<toolkit-version>/<task>/<variant>/<chip>/<precision>/.

The manifest records model and metadata checksums. Original checkpoints, conversion scripts, and their provenance are in source/.

The models and checkpoints are distributed under AGPL-3.0. See LICENSE and source/weights.json.

Detection includes the n, s, and m sizes in FP16 and INT8 for both chips. The checkpoints were exported with Rockchip's RKOPT detector head and compiled with the Model Zoo converter. The exact checkpoint URLs, exporter commits, scripts, and ONNX graphs are under source/.

Models are organized by RKNN Toolkit2 version under models/v<version>/. Each model and its metadata share a folder.

Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support

Collection including HanzoHuang/YOLO11-RKNN2