Green Pepper Object Detection Dataset

In recent years, the agricultural sector has faced challenges in detecting crop pests and diseases, with traditional manual detection methods being inefficient and error-prone. Existing solutions mostly rely on simple image processing techniques, failing to accurately identify targets in various complex environments. This dataset aims to provide high-quality images of green peppers, assisting researchers and developers in improving recognition accuracy in object detection tasks. The dataset includes images of green peppers from multiple angles and under various lighting conditions, captured using high-resolution cameras in a greenhouse environment, ensuring image clarity and detail. Quality control involves multiple rounds of annotation and expert review mechanisms to ensure consistency and accuracy of data labeling. The data storage format is JPEG, organized so that each sample includes images, labels, and other relevant information, facilitating subsequent training and evaluation.