What is the IP102-Dataset_Annotated?

IP102 is a large-scale insect pest image dataset with 18,981 annotated images across 8 superclasses, covering multiple field and economic crops for agricultural AI and pest detection research.

How can this dataset be used in AI and machine learning?

The dataset supports insect classification, object detection, crop protection analytics, automated pest monitoring, and precision agriculture solutions using deep learning and computer vision models.

Does the dataset include diverse crop and environmental representation?

Yes. The dataset includes multiple crop types and varied field conditions, enabling AI models to generalize across diverse agricultural environments and geographic regions.

What annotation and labeling options are available?

GTS provides bounding boxes, segmentation, multi-class taxonomy labeling, custom ontology development, and scalable re-annotation services with strict quality control and validation workflows.

How does GTS ensure quality, scalability, and compliance?

All datasets undergo multi-level QC checks, review and rework cycles, and secure data preprocessing. GTS operates under ISO 9001:2015 and ISO 27001:2013 certifications and supports scalable agricultural AI projects worldwide.

Can GTS build custom agricultural datasets?

Yes. GTS offers custom crop and pest data collection, multilingual metadata tagging, global field sourcing, and flexible delivery formats tailored to enterprise agri-tech and research requirements.

IP102-Dataset_Annotated

Datasets

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IP102-Dataset_Annotated

Use Case

IP102-Dataset_Annotated

Description

IP102 is a large-scale insect pest dataset with 18,981 annotated images, covering 8 superclasses across field and economic crops.

Description:

IP102 is a large-scale insect pest dataset with 18,981 annotated images for accurate pest classification in agriculture. It covers 8 superclasses across field and economic crops, aiding in AI-driven pest detection and precision farming.

Download Dataset

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.

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IP102-Dataset_Annotated