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

Files with SHA256: cce5e3fa4a07dbbce725300a56d66ac5baa3b865c174692e8989bf16e3e4646c