Agricultural Product Harvest Basket Detection Dataset

The current agriculture industry faces challenges of labor shortages and low harvesting efficiency. The development of smart agriculture urgently requires efficient automation technology to enhance production efficiency. Existing target detection systems perform poorly in complex agricultural environments, failing to accurately recognize different types of harvest baskets. This results in crop losses and inefficiency. This dataset aims to assist researchers and developers by providing high-quality, accurately labeled images of agricultural harvest baskets, enabling the training of more precise target detection algorithms to meet the needs of smart agriculture. The images in the dataset were collected using drones and high-definition cameras under varying lighting and weather conditions, ensuring data diversity and authenticity. To guarantee data quality, multiple rounds of labeling and expert review were conducted, and all labeling results underwent consistency checks to ensure data accuracy and reliability. The data is stored in JPEG format, organized so that each image corresponds to an annotation file, facilitating subsequent use and testing.