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