image
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4.32k
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imagewidth (px) 115
4.32k
| image_id
stringlengths 6
161
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4.32k
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int32 85
3.89k
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int32 1
34
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tomato-septoria-leaf-spot.jpg
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depositphotos_120361722-stock-photo-tomato-leaf-closeup.jpg
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IMG_1261.jpg
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septoria-leaf-spot-tomatoes2x2400-202yoxg.jpg
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IN0335.jpg
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septoria_tomato.jpg
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lateblight2.jpg
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Pest2369.jpg
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tomato-yellow-leaf-curl-disease.jpg
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Bacterial+Spot+-+Tomatoes.jpg
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late-blight-phytophthora-infestans-damage-to-tomato-leaves-and-fruit-cmnxnf.jpg
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tomato_early-blight_02_zoom.jpg
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59380.jpg
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118A_Tom_Late.jpg
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End of preview. Expand
in Data Studio
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.
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