This dataset supports object detection for pear leaf health monitoring: locating and classifying an insect pest and fungal/bacterial disease lesions directly on pear leaf images. It targets the timely detection and localization of foliar pear pests and diseases central to precision agriculture, where manual agronomist inspection is labor-intensive, subjective, and hard to scale.
The dataset consists of 2,210 annotated images (1,542⦠See the full description on the dataset page:
https://huggingface.co/datasets/salahkhenfer/pear-pests-dataset.