metadata
license: mit
tags:
- computer-vision
- image-segmentation
- leaf-disease
- in-the-wild
Cleaned_100
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 125 image-mask pairs.