Agriculture & Food

The Field Seedling Localization Dataset focuses on providing high-quality target detection data for precision agriculture.

The Garden Anthracnose Disease Identification Image Dataset is designed specifically for identifying and monitoring anthracnose disease in garden crops.

The Agapanthus Recognition Image Dataset for Garden Flowers is a high-quality image dataset designed to enhance recognition of agricultural and forestry flowers.

The Field Grass Navigation Dataset is designed for agricultural object detection tasks, providing high-quality annotated image data.

Beehive scene recognition dataset to support intelligent agricultural management.

This dataset is specifically designed for identifying azaleas in garden flowers, enhancing the efficiency of horticultural management and plant protection.

The Green Pepper Object Detection Dataset provides high-quality data for object detection in agricultural applications, aiding in crop monitoring and analysis.

The Japanese Quince recognition image dataset aids plant identification and classification in agriculture, forestry, and fisheries.

This dataset focuses on the target detection of farmland pesticide spraying operations, aiming to enhance agricultural work efficiency.

This dataset focuses on the detection of occupational safety equipment, aiming to enhance agricultural safety efficiency.

Floral health status monitoring dataset, aiding intelligent agricultural management.

The durian plantation epiphyte lichen image dataset focuses on enhancing the ability to identify lichens in durian plantation management.

The Cabbage Yield Prediction Dataset aims to improve the accuracy of agricultural yield predictions.

Horticultural flower Salvia Splendens recognition image dataset, used to improve plant recognition accuracy.

The garden flowers Rhoeo Discolor recognition image dataset is used to improve the accuracy of plant recognition and classification models.

This dataset provides high-quality image data for the classification of agricultural product stalls, aiding in agricultural intelligence.

This dataset combines drought farmland imagery with environmental data for AI-based predictions of irrigation timing and water demand.

The Garden Flower Salvia Identification Image Dataset focuses on improving plant identification efficiency in agriculture and forestry.

This dataset is used for the automatic detection and counting of papaya fruits, aiding the development of agricultural intelligence.