Nature, Aerial & Aquatic

The Durian Plantation Disease Identification Blackhead Disease Image Dataset focuses on improving the accuracy of crop disease identification.

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

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

The Ornamental Plants Pomegranate Flower Recognition Image Dataset is designed to enhance the accuracy of pomegranate flower recognition algorithms.

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

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

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

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

The Garden Flower Rosa Banksiae Identification Image Dataset is used for scientific research and industrial applications, providing high-quality image data for flower plant identification.

The dataset for identifying pink disease in durian plantations is dedicated to improving the accuracy of disease detection.

Provides a high-quality image dataset for identifying pest leafhoppers in durian planting.

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

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

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

The garden flowers Rhoeo Discolor recognition image dataset is used to improve the accuracy of plant recognition and classification models.

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

The dataset is used to optimize horticulture automation recognition systems.

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

Garden flower water lily identification image dataset, designed for plant classification and identification tasks.

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