Candy Dataset - Faculty of Engineering - University of Porto - Department of Mechanical Engineering

This repository presents the "Candy Dataset".

The repository contains a single file that comprises an authentic dataset. For user convenience, it is available for download in various formats, including YOLOV11, YOLOV10, YOLOV9, YOLOv8, YOLOV6,YOLOv5, YOLOv7, MT-YOLOv6, COCO JSON, YOLO Darknet, Pascal VOC XML, TFRecord, CreateML JSON, and Other Formats.

Ultimately, this dataset is available for download in zip format. Also includes the kinematic and dynamic parameters of the Collaborative Robot.

Any publications utilizing the 'Candy Dataset' must properly cite the following paper:
Santos, A.A., Schreurs, C., da Silva, A.F. et al. Integration of Artificial Vision and Image Processing into a Pick and Place Collaborative Robotic System. J Intell Robot Syst 110, 159 (2024). https://doi.org/10.1007/s10846-024-02195-z