five

Lemon Leaf Disease Dataset

收藏
DataCite Commons2025-04-06 更新2025-04-16 收录
下载链接:
https://ieee-dataport.org/documents/lemon-leaf-disease-dataset
下载链接
链接失效反馈
官方服务:
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:
IEEE DataPort
创建时间:
2025-04-06
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作