robotic-vision-lab/CitDet-A-Benchmark-Dataset-For-Citrus-Fruit-Detection
CitDet: A benchmark dataset for citrus fruit detection.
This project provides a comprehensive dataset of high-resolution citrus tree images, specifically focusing on trees affected by Huanglongbing (HLB) disease. It includes detailed bounding box annotations for individual citrus fruits, both on the trees and fallen on the ground. This resource is for agricultural researchers and farm managers who need reliable data to develop and test automated systems for fruit counting, yield estimation, and early detection of HLB.
Use this if you are developing or evaluating machine learning models for detecting citrus fruits in orchard settings, especially in areas impacted by HLB.
Not ideal if you are looking for a ready-to-use software application for citrus detection rather than a dataset and benchmark for model development.
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Dec 26, 2025
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