首页|Researchers from O’Higgins University Report New Studies and Findings in the Are a of Robotics and Automation (Cherry Co Dataset: a Dataset for Cherry Detection, Segmentation and Maturity Recognition)

Researchers from O’Higgins University Report New Studies and Findings in the Are a of Robotics and Automation (Cherry Co Dataset: a Dataset for Cherry Detection, Segmentation and Maturity Recognition)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Robotics - Robotics an d Automation is the subject of a report. According to news reporting originating in Rancagua, Chile, by NewsRx journalists, research stated, “In recent years, t here has been an increasing interest in using robotics and autonomous systems fo r fruit farming. These systems use detection and segmentation algorithms to prov ide computers with a way to interpret and interact with plants, thus allowing th em to automatize assessment and harvesting tasks.” Financial support for this research came from FONDEQUIP project. The news reporters obtained a quote from the research from O’Higgins University, “This type of algorithm requires a dataset to train a machine learning algorith m, but most types of fruits lack a publicly available dataset. We present Cherry CO, a novel, high-resolution dataset for cherry detection and segmentation. Thi s dataset contains 3,006 labeled images that were acquired in a cherry plantatio n. The images were taken in various conditions to account for most challenges in this environment. Each cherry was manually labeled to account for location, sha pe and classes, taking into account aspects such as ripeness, health state and l ocation. This letter presents a detailed description of data acquisition, annota tion specifications and statistical analysis of the dataset. In addition, we tra ined and evaluated several Deep Neural Networks to provide a benchmark for cherr y detection, achieving high performance with most networks, most notably YOLOv7. ”

RancaguaChileSouth AmericaRobotics and AutomationRoboticsO’Higgins University

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jun.5)