This dataset provides high-quality image support for urban night traffic enforcement and order control, aiming to improve the accuracy of traffic monitoring and object detection.

This dataset provides high-quality synthetic images of knitwear, supporting virtual fitting applications for e-commerce platforms.

A dataset for automatic classification and detection of irregular mechanical parts.

The Post-Disaster Ruins Drone Aerial Damage Assessment Dataset provides high-precision aerial imagery for building damage assessment.

This dataset is used for the recognition of asparagus packaging labels, supporting supply chain traceability and anti-counterfeiting applications.

This dataset provides a rich collection of images for classifying electric shavers into three categories based on their appearance.

The subway platform crowding estimation video dataset is used to enhance traffic flow management and safety.

This is a high-quality image dataset focused on detecting traffic accidents in rainy conditions.

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

This dataset contains video samples for detecting foreign object suspension on transmission lines, aiding in power inspection automation.

A dataset aimed at improving gear detection for industrial quality control.

The Traffic Signal Recognition Image Dataset is designed to enhance the signal recognition capabilities of autonomous driving systems.

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

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

This dataset facilitates the recognition of various home projector styles to enhance e-commerce product classification.

The Garden Powdery Mildew Identification Image Dataset is used to improve the accuracy of plant disease detection models.

This dataset supports advanced quality inspection for universal joint components in the automotive industry.

This dataset is used for training models to automatically recognize asparagus, containing images under different varieties and lighting conditions.

This dataset is used for the detection of speed and angle control zones of electric fans, aiding the development of smart homes.

The Hat AI Try-On Image Dataset is designed to enhance the virtual try-on experience in online shopping.