Lemon Leaf Disease Dataset
收藏IEEE2026-04-17 收录
下载链接:
https://ieee-dataport.org/documents/lemon-leaf-disease-dataset
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资源简介:
The Lemon Leaf Disease Dataset (LLDD) is a high-quality image dataset designed for training and evaluating machine learning models for lemon leaf disease classification. The dataset contains 9 classes of images of healthy and diseased lemon leaves, such as; Anthracnose. Bacterial Blight, Citrus Canker, Curl Virus, Deficiency Leaf, Dry Leaf, Healthy Leaf, Sooty Mould, Spider Mites, making it suitable for tasks such as plant disease instance segmentation, detection, image classification, and deep learning applications in agriculture. This dataset is manually annotated and converted into a YOLO format for segmentaton, detection, classification and other deep learning applications.
提供机构:
Doh, Benjamin



