Dataset Hub

This dataset is used to analyze the correlation between the color characteristics and maturity of strawberries to enhance agricultural intelligence.

This dataset collects surface images of farmland under different seasons and drought levels for AI monitoring of surface environment changes.

This dataset is used for identifying and classifying product images of children's shoes, supporting automated processing in the e-commerce industry.

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

Autumn and winter coats virtual try-on dataset to enhance online shopping experience, providing realistic try-on effects.

This dataset provides high-quality images for monitoring and analyzing the stages of grass growth.

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

This dataset focuses on the target detection of storage box buckle handles, aiming to improve the efficiency of e-commerce logistics management.

This dataset provides a wealth of soil moisture cycle change image data, supporting agricultural monitoring and research.

A dataset for detecting defects in crystal oscillators to enhance quality control in industrial applications.

The Business Suit AI Fitting Dataset aims to enhance the consumer's online fitting experience by providing diverse suit image synthesis data.

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

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

The Bridge Surface Damage Image Segmentation Dataset is used to detect and segment various damages on bridge surfaces.

A dataset designed for the detection of BGA solder ball misalignment in industrial applications.

The Bean Leaf Detection Dataset provides high-quality annotated data for agricultural pest and disease detection.

This dataset focuses on posture classification for wheelchair operators to support advancements in assistive medical technologies.

The Garden Flower Azalea Recognition Image Dataset focuses on improving the accuracy of azalea variety recognition.

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

This dataset provides precise pixel-level segmentation annotations for crop pest monitoring, aiding the development of AI models.