Use GIS coverage and boundary data for fog and low clouds to locate and analyze low-visibility weather regions.

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

The Orchid Identification Image Dataset aims to improve the accuracy and efficiency of orchid identification.

Garden flower weeping crabapple recognition image dataset, aiding precise recognition and classification.

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

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

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

The Garden Flower Delphinium Identification Image Dataset assists in precise plant classification and research.

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

A high-quality image dataset for identifying New Guinea Impatiens.

This dataset is used for the recognition and classification of Orychophragmus violaceus in garden flowers.

The Garden Flower Rhododendron Identification Image Dataset is used to improve the accuracy of flower identification.

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

Train models to analyze possible causal links between water quality events and fish responses using trout farming cases with timelines and explicit evidence limitations.

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

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

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

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

This dataset aims to support machine learning tasks for hibiscus flower identification in the fields of horticulture and agriculture.

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