Jackfruit AgroVision: A Extensive Dataset for Jackfruit Disease and Leaf Disease Detection using Machine Learning

The JackfruitVision dataset is a comprehensive collection of annotated images of jackfruit leaves and fruits affected by various diseases. Designed for Machine Learning, Deep Learning, and Computer Vision applications, this dataset enables automated disease detection and classification. It supports tasks like image segmentation, multi-class classification, and transfer learning, making it valuable for researchers and agricultural AI solutions.

菠萝蜜视觉数据集（JackfruitVision）是一套收录受各类病害侵染的菠萝蜜叶片与果实的标注图像综合性集合。该数据集专为机器学习、深度学习与计算机视觉应用开发，可支撑自动化病害检测与分类任务。其支持图像分割、多分类以及迁移学习等多项任务，可为科研人员与农业人工智能解决方案提供重要应用价值。