Dataset Hub

The Garden Flowers Blue Potato Tree Recognition Image Dataset is designed to improve the technology of flower recognition in agriculture, forestry, and fishery.

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.

This dataset is specifically designed for detecting violation behaviors at crossroads to enhance the intelligence level of traffic safety monitoring.

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 hospital corridor personnel density estimation dataset is used to improve the accuracy of density estimation models.

The food safety regulation kitchen operation specification video retrieval dataset enhances the efficiency and accuracy of kitchen operation supervision.

This dataset is dedicated to the automatic recognition of paulownia in garden flowers.

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 scientific laboratory instrument readout recognition dataset aids in enhancing the efficiency of scientific data analysis.

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

The Logistics Receiving and Sending Area Cargo Stacking Image Dataset is used to optimize cargo stacking recognition and management in the express logistics field.

The X-Ray Image Contraband Detection Dataset at Security Checkpoints focuses on improving the accuracy of contraband identification in baggage screening images.

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.