A Dataset of Multispectral Potato Plants Images
Introduced by Butte et al. in Potato Crop Stress Identification in Aerial Images using Deep Learning-based Object Detection
The dataset contains aerial agricultural images of a potato field with manual labels of healthy and stressed plant regions. The images were collected with a Parrot Sequoia multispectral camera carried by a 3DR Solo drone flying at an altitude of 3 meters. The dataset consists of RGB images with a resolution of 750×750 pixels, and spectral monochrome red, green, red-edge, and near-infrared images with a resolution of 416×416 pixels, and XML files with annotated bounding boxes of healthy and stressed potato crop.
Benchmarks
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A Dataset of Multispectral Potato Plants Images
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Retina-UNet-Ag
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Papers
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