LeafNet75/Leaf-Annotate-v2
Image Segmentation
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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.
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Size of downloaded dataset files:
1.95 MB
Size of the auto-converted Parquet files:
1.95 MB
Number of rows:
129
Models trained or fine-tuned on LeafNet75/In_the_Lab_masks