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

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

The sonar image-based fishery fish school density retrieval dataset supports precise fish density analysis.

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

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

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

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

The Open Sea Vessel Navigation Video Detection Dataset is used to improve the efficiency of maritime transportation in the express logistics industry.

The dataset focuses on the recognition of garden flower balloon flowers to enhance image resolution capabilities in agriculture and forestry.

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

The Underwater Coral Reef Species Identification Dataset aids scientific research by improving identification accuracy.

Provides a high-quality Yulan Magnolia recognition image dataset to aid in accurate recognition and classification.

The River Debris Detection Image Dataset provides precise image resources for environmental research and applications.

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

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

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

The Garden Flowers Hibiscus Identification Image Dataset focuses on improving the automatic identification and classification of hibiscus flowers in gardens.

High-precision image dataset for recognizing garden flower calla lilies.

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

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