| --- |
| license: apache-2.0 |
| task_categories: |
| - image-segmentation |
| language: |
| - en |
| size_categories: |
| - n<1K |
| --- |
| |
| # leaf-segmentation-dataset |
| |
| ## Dataset Description |
| 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. |
| ### Features |
| - `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. |
|
|
| # Dataset Structure |
| The dataset consists of 44 image-mask pairs. |
| |
| ## License |
| This dataset is intended for research purposes only and is licensed under **Apache License 2.0** |
