Dataset Hub

This is a target detection dataset for the classification of fence materials, assisting in agricultural monitoring and management.

This dataset provides high-quality winnowing scene images for the agricultural sector, aiding crop identification and monitoring.

This dataset provides a robust collection of images for detecting defects in brake calipers, aimed at improving quality control in the automotive industry.

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

Horticultural flower Salvia Splendens recognition image dataset, used to improve plant recognition accuracy.

This dataset is used for recognizing and classifying product images of children's dresses.

This dataset provides high-quality beehive environment monitoring images for supporting object detection tasks.

Identify leaf rot disease in durian plantations through a high-quality image dataset.

This dataset is used for pose estimation of tea pickers to promote the development of smart agriculture.

A video dataset focused on action recognition of infants approaching dangerous areas.

A dataset for classifying different types of refrigerator doors to enhance e-commerce product management.

The Public Transport Timetable Image Dataset is a high-quality image collection intended for scientific and technological research.

This dataset provides image data of construction site safety warning signs, supporting object detection research.

This dataset is designed to help models determine the opening positions of cabinets to enhance user shopping experiences.

This dataset provides high-quality images for training automated systems to detect defects in car window glasses.

The cleanroom personnel dress code compliance detection dataset is used to identify and improve personnel dress compliance in cleanroom environments.

This dataset focuses on monitoring abnormal behavior of suspicious individuals in non-open areas.

This dataset provides high-quality images of occluded sanitary napkin products for improved detection and classification.

This dataset focuses on audio data for detecting dangerous driving behaviors in driver training.

The Breakfast Cereal Product Occlusion Image Dataset provides valuable resources for training models to recognize partially occluded products in retail settings.