IP102-Dataset_Annotated

IP102 is a comprehensive insect pest dataset designed for accurate pest recognition and classification, helping to minimize agricultural losses. With thousands of annotated images, it serves as a valuable resource for machine learning and deep learning models in precision agriculture and pest management.

Key Features of IP102

• 18,981 Annotated Images: A subset of the full IP102 dataset, providing high-quality labeled data for pest identification.
• Diverse Pest Categories: Covers 8 superclasses, including Field Crops (Rice, Corn, Wheat, Beet, Alfalfa) and Economic Crops (Vitis, Citrus, Mango).
• Balanced Dataset Distribution: Features an average of 737 images per class with a 6:1:3 train-validation-test split for effective model training.
• Ideal for AI & Computer Vision: Supports pest detection, crop protection, and precision farming applications.

This dataset is sourced from Kaggle.