Nature, Aerial & Aquatic

The dataset optimizes the collaborative cruise of unmanned fleets.

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

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

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

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 Ixeridium Image Recognition Dataset is designed to enhance the accuracy of recognizing the Ixeridium plant species.

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

The Garden and Flower Mulberry Recognition Image Dataset aids in identifying the health status of various flowers and fruit mulberries.

This dataset focuses on wisteria recognition in garden flowers to improve plant management efficiency.

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

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

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

The garden flower peony identification image dataset is used to enhance the automatic identification ability of peony varieties.

Garden flower rhododendron identification image dataset is used to enhance the performance of machine learning models for the identification and classification of rhododendrons.

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

Durian plantation pest borer image dataset optimizes agricultural and forestry pest control.

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

The Landscape Flora Koelreuteria Identification Image Dataset is used to enhance the accuracy of Koelreuteria classification and identification.

The durian plantation disease identification algal spot disease image dataset is designed to enhance the precision of robotic visual recognition.

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