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Datasets:
LeafNet75
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TomatoMask_SAM

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Tags:
computer-vision
image-segmentation
leaf-disease
in-the-wild
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pandas
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TomatoMask_SAM

This is a dataset of "in-the-wild" leaf images with segmentation masks generated by the Segment Anything 2 (SAM 2) model.

Dataset Description

This dataset contains multi-leaf, "in-the-wild" images of plants. The segmentation masks were automatically generated using the SAM2AutomaticMaskGenerator and then processed to create a final binary mask for each image, highlighting the most prominent leaf structures. This dataset is intended for training and evaluating robust, automatic leaf segmentation models.

Features

  • image: The original RGB image.
  • mask: The binary, single-channel (grayscale) segmentation mask generated by SAM 2.
  • 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 distinct leaf regions found in the mask, calculated via contour detection.

Dataset Structure

The dataset consists of 871 image-mask pairs.

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Size of downloaded dataset files:
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Number of rows:
871