Dataset Hub

This dataset provides high-quality target detection images for crop growth stage monitoring.

This dataset focuses on the recognition of legume crops in greenhouses, providing high-quality data support for smart agriculture.

This dataset is used to assess the impact of floods on farmland, aiding smart agriculture management.

This dataset provides high-quality images of tomato diseases and pests, supporting object detection tasks to aid agricultural automation management.

This dataset focuses on the integrity analysis of cabbage leaves, aiding in health monitoring and pest detection in the agricultural sector.

The Orchard Vehicle Image Classification Dataset focuses on vehicle type recognition to aid the process of agricultural automation.

This dataset focuses on the classification of remote sensing images of farmland types, aiding in agricultural monitoring and research.

The Tomato Picking Navigation Dataset is a high-quality image dataset designed for agricultural automation target detection.

This dataset provides a rich set of green chili images, supporting varietal classification and recognition tasks.

This dataset focuses on seedling recognition, aiming to enhance the automation and accuracy of agricultural monitoring.

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

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

The Pumpkin Field Distribution Analysis Dataset provides high-quality images, supporting agricultural crop monitoring and target detection.

The Floral Landscape Recognition Dataset is designed to enhance agricultural intelligence and support the development of flower recognition technology.

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

This dataset collects surface images of farmland under different seasons and drought levels for AI monitoring of surface environment changes.

This dataset is used for classifying the growth stages of fruit trees, aiding in precision agriculture management.

Green pepper fruit segmentation dataset providing high-quality images and segmentation annotations to aid in agricultural automation detection.

This dataset focuses on semantic segmentation of soil texture and particles, aiming to improve the efficiency and accuracy of agricultural monitoring.

The Farmland Plot Segmentation Dataset provides high-quality image segmentation data for precise agricultural management.