The garden plant tamarisk recognition image dataset is aimed at enhancing the automation level of agricultural and garden plant recognition.

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

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

The Ornamental Flower Pear Recognition Image Dataset helps improve the accuracy and efficiency of pear blossom recognition.

The Triangular Maple Recognition Image Dataset is used to enhance plant recognition technology.

The Garden Flowers Strawflower Recognition Image Dataset is used to improve plant recognition capabilities in the fields of agriculture, forestry, and fisheries.

The garden flower Calendula recognition dataset is built to improve the accuracy of flower recognition.

High-quality image data for detecting yellow peach weevil pests in durian planting.

The ornamental flower sakura recognition image dataset provides precise sakura recognition assistance for the agriculture and forestry sectors.

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

The Aquilegia Recognizing Image Dataset for Garden Flowers is used for effective identification of Aquilegia.

Durian plantation pest identification scale insect image dataset, aiding precision agriculture pest management.

The Mountain Hiking Path Image Dataset is used to optimize path recognition and navigation in hiking activities.

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

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

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

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

This dataset is used for recognizing and classifying pomegranate fruits in gardens to enhance the efficiency of intelligent agricultural management.

The Garden Flower Spherical Photinia Identification Image Dataset is used to improve the accuracy of plant identification and monitoring in agriculture and forestry.

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