An Annotated Image Dataset for Small Apple Fruitlet Detection in Complex Orchard Environments

This study presents a comprehensive dataset comprising 2,517 images of apple fruitlets, each uniformly rescaled to 500×500 pixels to maintain dimensional consistency. Manual annotation was performed using LabelImg software, with bounding box coordinates stored in XML format. To enhance usability across different platforms, we additionally provide annotations in TXT format. Figure 3 illustrates a representative annotation example. During the annotation process, special attention was given to: (1) precise localization of small fruitlets, and (2) accurate annotation of partially occluded targets, where only visible portions were labeled to minimize false positives in subsequent analyses.