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--- |
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license: apache-2.0 |
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task_categories: |
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- image-segmentation |
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language: |
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- en |
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size_categories: |
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- n<1K |
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--- |
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# leaf-segmentation-dataset |
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## Dataset Description |
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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. |
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The dataset includes additional metadata extracted from the annotation process. |
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### Features |
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- `image`: The original RGB image of the plant leaf/leaves. |
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- `mask`: The binary, single-channel (grayscale) segmentation mask. The leaf pixels are white (255) and the background is black (0). |
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- `image_id`: The original filename of the image. |
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- `width`: The original width of the image. |
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- `height`: The original height of the image. |
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-`num_annotations`: The number of individual leaves annotated in the image. |
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# Dataset Structure |
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The dataset consists of 44 image-mask pairs. |
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## License |
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This dataset is intended for research purposes only and is licensed under **Apache License 2.0** |
