Nature, Aerial & Aquatic

The Corn Rust Disease Recognition Image Dataset supports precise identification and monitoring of corn rust disease, improving efficiency in crop health management.

This dataset is used to identify pest psyllids in durian plantations, assisting agricultural practitioners in accurate judgment and taking measures.

The Musella Lasiocarpa Image Recognition Dataset for Garden Flowers is a high-quality image dataset used to identify specific varieties of flowers.

This dataset records the full video of a desert convoy crossing, supporting environmental monitoring and autonomous driving research.

This dataset provides high-quality images for rice tillering recognition, supporting precision agriculture applications in the agriculture and forestry fields.

The Infrared Monitoring Dataset of Wildlife in Dense Forests provides high-quality animal monitoring image data for scientific research.

The Garden Flowers Blue Potato Tree Recognition Image Dataset is designed to improve the technology of flower recognition in agriculture, forestry, and fishery.

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

The durian plantation pest spider mite image dataset is used to improve pest detection and control efficiency.

The Garden Flower Conical Hydrangea Image Recognition Dataset is developed for robotic vision systems.

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

This dataset focuses on the recognition and classification of medal chrysanthemums in garden flowers.

The Ornamental Flowers Plum Recognition Image Dataset provides high-quality image resources for the identification and classification of plum varieties.

This dataset is used for recognizing and studying images of garden flowers peony (herbaceous).

The Garden Flowers Michelia Recognition Image Dataset is designed to improve flower recognition technology in the agriculture and forestry industry.

A high-quality image dataset for identifying and classifying garden flower Digitalis.

This dataset is used for the identification and classification of begonia flower images across different seasons.

The Garden Flower Ixora Image Recognition Dataset is used to improve the accuracy of flower recognition in agriculture and forestry.

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

This dataset provides high-quality video data for tracking the positions of participants in a fishing tournament.