Pumpkin Object Detection Dataset

The current agricultural industry faces challenges in crop health monitoring, especially in pumpkin cultivation, where traditional methods are inefficient and difficult to achieve real-time monitoring. Existing solutions lack sufficient data support, making it difficult to meet detection accuracy and speed requirements. This dataset is designed to provide high-quality pumpkin image data to support the training of object detection algorithms, thereby enhancing the level of automation in crop monitoring. The images in the dataset are captured using professional equipment under various lighting and environmental conditions to ensure data diversity and representativeness. During data processing, quality control measures such as multiple rounds of annotation and expert review are adopted to ensure accuracy and consistency. The data is stored in JPEG format, with each image containing information on bounding boxes and class labels, facilitating subsequent model training and evaluation.