In_the_Lab_masks / README.md
Subh775's picture
Update README.md
9ca5aef verified
metadata
license: apache-2.0
task_categories:
  - image-segmentation
language:
  - en
pretty_name: AlgoAbode
size_categories:
  - n<1K

In_the_Lab_masks

This dataset contains in-the-lab single images of plant leaves (Tomato) and their corresponding binary segmentation masks. It was annotated using CVAT Segment Anything 2.0 and is intended for training computer vision models for segmentation tasks. The dataset includes additional metadata extracted from the annotation process.

Features

  • image: The original RGB image of the plant leaf/leaves.
  • mask: The binary, single-channel (grayscale) segmentation mask.
  • 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.

Dataset Structure

The dataset consists of 129 image-mask pairs.