The Residential Bathroom Renovation Style Classification Image Dataset is a key resource for training AI to recognize different renovation styles.

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

This dataset aims to promote the process of agricultural intelligence by accurately recognizing tea picking actions.

A dataset designed for the recognition of transformer core structures to enhance quality control in manufacturing.

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

A comprehensive dataset for detecting and analyzing defects in window lifter mechanisms in the automotive industry.

This dataset focuses on the relationship between soil fertility and seedling growth, supporting in-depth research and applications in the agricultural field.

The pesticide spraying scene classification dataset is used to enhance the intelligence level of agricultural spraying operations.

This dataset provides high-quality image data for monitoring the growth of fennel crops, supporting agricultural object detection research.

Introduction

This is a target detection dataset focused on bus accident scenarios, aimed at improving the efficiency of traffic safety research.

This dataset focuses on detecting imbalance in washing machine drums to enhance performance and durability.

This dataset is used to identify and classify product images of sunscreen clothing.

This dataset provides high-quality images for greenhouse tomato environment monitoring, supporting object detection tasks.

This dataset is used for AI automatic recognition and claim assistance of flood disaster farmland images.

This dataset is designed for detecting deformities and misalignments in connecting rods.

This dataset provides high-quality images and classification labels of sunscreen products, aiming to enhance the accuracy of e-commerce recommendations.

This dataset provides a rich collection of images for training models on occluded product recognition in the retail e-commerce sector.

This dataset records the state of grapevines at different growth stages to aid precise agricultural management.

This dataset provides a rich set of images of beauty aid tools, aiming to improve the application effectiveness of image classification technology in retail e-commerce.