Dataset Hub

This dataset records crop growth anomalies in flood environments, aiming to support AI models in anomaly identification.

This dataset focuses on the target detection of farmland pesticide spraying operations, aiming to enhance agricultural work efficiency.

A dataset for classifying different types of shoe dryers based on their shapes.

The Strawberry Defect Detection Dataset is used for AI models to automatically identify abnormal fruit features on strawberries.

The Ixeridium Image Recognition Dataset is designed to enhance the accuracy of recognizing the Ixeridium plant species.

This dataset is used to identify irregular vibrations, abnormal sounds, jumps, and other precursor behaviors of faults during the operation of fans.

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

Green pepper fruit segmentation dataset providing high-quality images and segmentation annotations to aid in agricultural automation detection.

This dataset focuses on identifying defects in temperature control patches of electric rice cookers.

This dataset focuses on the identification and monitoring of seedling health status, supporting object detection tasks.

Garden Flower Butterfly Flower (Japanese Iris) Recognition Image Dataset, assisting with agricultural and forestry flower identification and classification.

This dataset provides high-quality images of blood collection needle equipment operation for object detection tasks.

A dataset designed to distinguish between various styles of range hoods for improved e-commerce classification.

This dataset provides high-quality synthetic images for virtual try-on of sneakers for the e-commerce industry.

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

This dataset aims to improve the accuracy of automatic recognition of syringes and consumables, optimizing medical equipment management.

This dataset provides high-quality leather shoe try-on simulation images to enhance user experience in retail e-commerce.

The Greenhouse Crop Detection Dataset aims to improve the accuracy and efficiency of crop monitoring.

A specialized dataset for detecting defects in complex crankshaft structures.

This dataset focuses on detecting personnel working at heights in scaffold areas.