Extensive Repository of Jackfruit Leaf Images Capturing Health States and Developmental Stage Patterns in Natural Environments

This dataset contains raw images of jackfruit (Artocarpus heterophyllus) leaves categorized into five classes: Dried, Healthy, Leaf_Miner, Senescence, and Young. The images were collected using smartphone devices from Savar and Rajbari districts, Bangladesh under natural field conditions. Each image represents different health conditions and growth stages of jackfruit leaves. The dataset is unprocessed, making it suitable for developing models on leaf health and growth stage detection, as well as general agricultural image analysis.

Dataset Classes and Image Counts:
Dried:500 images
Healthy:500 images
Leaf_Miner:500 images
Senescence:500 images
Young:500 images

Image Details:
Original image resolution:3072 x 4096
Resized image resolution:480 x 560
Image formate:JPG
Color mode:RGB
Collection device: Smartphone camera
Location: Savar and Rajbari districts, Bangladesh

本数据集包含波罗蜜（Artocarpus heterophyllus）叶片的原始图像，共分为5个类别：干枯（Dried）、健康（Healthy）、潜叶虫害（Leaf_Miner）、衰老（Senescence）以及幼叶（Young）。所有图像均于孟加拉国萨瓦（Savar）与拉杰巴里（Rajbari）地区的自然田间环境中，通过智能手机采集获取。每张图像对应波罗蜜叶片不同的健康状态与生长阶段。本数据集未经预处理，适用于开发叶片健康与生长阶段检测模型，以及开展通用农业图像分析相关研究。

数据集类别与图像数量：
干枯类：500张图像
健康类：500张图像
潜叶虫害类：500张图像
衰老类：500张图像
幼叶类：500张图像

图像详情：
原始图像分辨率：3072×4096
调整后图像分辨率：480×560
图像格式：JPG
色彩模式：RGB
采集设备：智能手机摄像头
采集地点：孟加拉国萨瓦与拉杰巴里地区