ODUTF image dataset for RoboCup@Home Brasil

For service robots operating in domestic environments, high-level intelligent behaviors require a comprehensive understanding of objects through visual perception. The random placement of objects introduces variations that impact the accuracy of object detection and recognition. This study presents a novel method for automatically generating a concise image dataset, named the Object Dataset Federal University of Technology (ODUTF), to enhance intelligent behaviors in service robots to focus on domestic tasks. The dataset is produced using an automatic multicapture device that gathers RGB images, stereo information, depth images, and point-cloud data.