IP102

The IP102 dataset comprises 75,222 images of 102 pest species, out of which 12 classes are chosen for detection tasks. The custom pest dataset contains 10 categories of pests commonly found in crops like rice, maize, soybean, and canola. It includes images captured under varied real-world conditions, such as different lighting, occlusion, and complex backgrounds, making it highly representative of practical agricultural scenarios.The dataset is meticulously annotated for detection tasks, enabling its use in computer vision applications for real-time pest detection. Its diversity and scalability make it a vital resource for the development of robust models for early pest detection, species identification, and ecological monitoring. By addressing key challenges in pest management, this dataset supports research efforts in enhancing crop protection and promoting sustainable agricultural practices.