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a source for converting masked binary images collections to yolo v8 format

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MASK2YOLO

**a source for converting masked binary images collections to yolo v8 format Consider you have folders in structure as below:

Dataset

-train_images: source images collection

-train_labels

--label1: binary masked file for each source iamge for label1 collection

--label2: binary masked file for each source iamge for label2 collection

--label3: binary masked file for each source iamge for label3 collection

-valid_images: source images collection

-valid_labels:

--label1: binary masked files for each source iamge for label1 collection

--label2: binary masked files for each source iamge for label2 collection

--label3: binary masked files for each source iamge for label3 collection

-valid_images: source images collection

-valid_labels:

--label1: binary masked files for each source iamge for label1 collection

--label2: binary masked files for each source iamge for label2 collection

--label3: binary masked files for each source iamge for label3 collection

Genrated paths in Dataset

-TR: (train)

--iamges: source images collection

--labels: annotation task collection

-VL: (valid)

--iamges: source images collection

--labels: annotation task collection

data.yaml

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a source for converting masked binary images collections to yolo v8 format

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