Project-AgML/papaya_leaf_disease_detection
Papaya Leaf Disease Detection A dataset for disease detection of Papaya leaves. The dataset contains 1,050 images with 7,616 bounding box annotations across 5 categories.The dataset can be used as a classification dataset based on the label column, which contains integer based labels for the following classes:Anthracnose: 0Bacterial Spot: 1Curl: 2Ring Spot: 3Healthy: 4 This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/papaya_leaf_disease_detection.
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