Subh775/leaf-segmentation-unet-mobilenetv2
Image Segmentation
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Updated
This dataset contains "in-the-wild images"" of plant leaves and their corresponding binary segmentation masks. It was annotated using CVAT and is intended for training computer vision models for segmentation tasks. The dataset includes additional metadata extracted from the annotation process.
image: The original RGB image of the plant leaf/leaves.mask: The binary, single-channel (grayscale) segmentation mask. The leaf pixels are white (255) and the background is black (0).image_id: The original filename of the image.width: The original width of the image.height: The original height of the image.
-num_annotations: The number of individual leaves annotated in the image.The dataset consists of 44 image-mask pairs.
This dataset is intended for research purposes only and is licensed under Apache License 2.0