RK3576-SEGMENT-yolov8m-seg

yolov8m-seg

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1. Model Introduction

This repository provides RKNN deployment configurations of yolov8m-seg for RK3576.

Available Models

2. Files

3. Download

ModelScope

Full repository:

modelscope download --model RKNNAI/RK3576-SEGMENT-yolov8m-seg --revision v2.4.0 --local_dir ./RK3576-SEGMENT-yolov8m-seg

Selected configuration and root documents:

from modelscope import snapshot_download

snapshot_download(
    "RKNNAI/RK3576-SEGMENT-yolov8m-seg",
    revision="v2.4.0",
    allow_patterns=["README.md", "README_CN.md", "LICENSE", "yolov8m-seg-640x640-w8a8-1/**"],
    local_dir="./RK3576-SEGMENT-yolov8m-seg",
)

Hugging Face

Full repository:

hf download RKNNAI/RK3576-SEGMENT-yolov8m-seg --revision v2.4.0 --local-dir ./RK3576-SEGMENT-yolov8m-seg

Selected configuration and root documents:

hf download RKNNAI/RK3576-SEGMENT-yolov8m-seg --revision v2.4.0 --local-dir ./RK3576-SEGMENT-yolov8m-seg --include README.md README_CN.md LICENSE 'yolov8m-seg-640x640-w8a8-1/**'

4. SHA-256 Verification

From the directory where you ran the download command, enter the configuration directory and verify:

cd ./RK3576-SEGMENT-yolov8m-seg/yolov8m-seg-640x640-w8a8-1
sha256sum -c SHA256SUMS

All entries must report OK before deployment.

5. Compatibility and Limitations

• Supported chips are listed per configuration above.
• Use the matching files from the same configuration.

6. Copyright and License

The model is provided through RKNN Model Zoo and originates from airockchip/ultralytics_yolov8. The upstream license is GNU AGPL v3; see LICENSE. Original copyright and attribution notices are retained in the accompanying license file.

This distribution converts the source model to RKNN format for RK3576, using the precision specified in each configuration.