---
license: mit
tags:
- computer-vision
- image-segmentation
- leaf-disease
- in-the-wild
---

# In_the_Wild_masks600

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 **641** image-mask pairs.