Dataset Hub

A high-quality image dataset for identifying and classifying garden flower Digitalis.

This dataset facilitates the classification of different types of fans for enhanced e-commerce applications.

This dataset provides high-quality images for lens protection cover detection in industrial applications.

The Auditorium Host Posture Estimation Dataset aims to improve the accuracy of posture recognition.

A dataset containing images of casual jackets with various occlusion scenarios.

A dataset focused on the detection of defects in camera module parts for industrial quality assurance.

The Dental Clinic X-ray Image Caries Segmentation Dataset is fundamental data for improving caries detection accuracy.

The Home Entertainment Device Usage Habits and Preferences Tracking Document Dataset records user behavior and inclinations towards various entertainment devices.

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

The Grape Destemming Recognition Dataset aims to advance agricultural automation and improve destemming efficiency.

Sweet potato instance segmentation dataset to aid agricultural intelligence and pest detection.

This dataset facilitates accurate key recognition for air conditioner remote controls, enhancing user interaction.

The Nurse Station Call Voice Command Recognition Dataset is dedicated to improving the accuracy of voice command recognition in medical environments.

This dataset is used to identify and classify product images of maternity wear, aiding image classification tasks in the e-commerce field.

This dataset is designed for the task of instrument reading recognition at quality inspection stations in the field of scientific research.

The Religious Activities Chanting Audio Retrieval Dataset is a high-quality audio resource aimed at promoting intelligent recognition and analysis of language and cultural phenomena.

A dataset featuring inspection images of various generator models for quality control purposes.

This dataset provides high-quality image data for the task of spray droplet coverage segmentation, supporting the development of precision agriculture.

A dataset focused on occluded images of edible oil products, designed for improving product recognition technologies.

Foundation liquid product image classification dataset, providing diverse product images for accurate classification and recommendation.