CivArchive
    YOLO Dataset Auto-Annotate Workflow - v1.0
    Preview 114969835

    This workflow is intended to provide a head start for anyone needing to annotate image sets for yolo custom model training. It processes your image files using Florence2 for initial bbox detection and then SAM2 for finer bbox detection. It is intended to save files in a "/yolo/" sub-directory relative to the image base directory specified. It saves padded 640x640 images (default yolo dimensions) in a "/images" sub-directory and the labels which include the bbox dimensions in yolo format in the "/labels" sub-directory.

    If you build on this, please hit me up!

    - BillyB

    Description

    FAQ

    Workflows
    Other

    Details

    Downloads
    41
    Platform
    CivitAI
    Platform Status
    Available
    Created
    12/24/2025
    Updated
    4/27/2026
    Deleted
    -

    Files

    yoloDatasetAuto_v10.zip

    Mirrors

    CivitAI (1 mirrors)