Agriculture & Food

This dataset focuses on recognizing common firecracker flowers in gardens and cultivation, providing high-quality image data support for plant classification and pest detection.

This dataset aims to enhance the automatic recognition of pests and diseases in tea tree leaves, contributing to the development of precision agriculture.

This dataset focuses on the image recognition of garden flowers Chrysanthemum, and can be used to improve the accuracy of plant classification.

This dataset aims to promote the process of agricultural intelligence by accurately recognizing tea picking actions.

The Tomato Peduncle Keypoint Dataset is a high-quality target detection dataset designed for intelligent agricultural monitoring.

This dataset provides high-quality image data for studying the effectiveness of agricultural machinery in weed control, supporting tasks such as object detection and image recognition.

The land degradation monitoring dataset records images of varying levels of land cracking and degradation to assist AI in monitoring land quality.

This dataset is used to identify flowers and Rutaceae plants in gardens, aiding in agricultural and forestry management and research.

A dataset for joint detection of pumpkin leaves and fruits, assisting in intelligent agricultural monitoring and pest identification.

The Garden Flower Eyelash Rhododendron Recognition Image Dataset focuses on accurate identification and classification of eyelash rhododendron varieties.

The Amaryllis Image Recognition Dataset focuses on improving flower recognition and classification technology in the agriculture and forestry sector.

This dataset focuses on the classification of weed species, aiding the development of precision agriculture.

This dataset provides high-quality object detection data for grape sorting machinery monitoring in the agricultural field.

This dataset combines visual data from vineyards with field environment data to build a yield prediction dataset for AI model training.

This dataset is used for soil crack pattern recognition, aiding agricultural drought research and soil characteristic analysis.

The Orchard Land Use Monitoring Dataset provides high-quality image data for agricultural object detection, aiding intelligent agriculture management.

This dataset provides high-quality winnowing scene images for the agricultural sector, aiding crop identification and monitoring.

Collection of asparagus images under different brands and packaging methods for packaging detection and automatic recognition in retail scenarios.

This dataset is used for pose estimation of tea pickers to promote the development of smart agriculture.

Snapdragon identification image dataset to aid in the research of garden plant recognition and classification.