A dataset designed for the recognition of tail light misinstallation and maintenance scene lighting positioning.

A dataset focused on images of baseball caps with occlusions, aimed at improving object detection in retail e-commerce.

An image recognition dataset for medical sleep quality monitoring instruments, aimed at improving instrument detection accuracy.

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

This dataset is used for disaster level classification of crops with different levels of flooding, supporting AI training and evaluation.

A dataset designed for fault detection and liquid level monitoring in cooling systems.

This dataset provides a wealth of women's dress fitting images, supporting virtual fitting applications in the e-commerce field.

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

The Kitchen Tableware Placement Image Dataset provides high-quality kitchen item text labels to support home intelligence.

Raspberry variety classification dataset to support intelligent agriculture in raspberry variety recognition and classification research.

This dataset aims to support machine learning tasks for hibiscus flower identification in the fields of horticulture and agriculture.

This dataset is used for identifying intangible button interaction points of smart lighting devices.

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

This dataset provides high-quality samples for skincare lotion image classification, aiding the development of the e-commerce industry.

The Pharmacy Prescription Text Extraction Dataset focuses on extracting and recognizing text data from medical prescription images.

A dataset for detecting solder residue on air conditioning copper pipe joints to improve manufacturing quality.

This dataset provides a robust collection of images for classifying electromagnetic and ceramic stoves.

This dataset aims to provide high-quality farmer work scene recognition data to support the development of intelligent agriculture.

This dataset is used to assess the impact of floods on farmland, aiding smart agriculture management.

The Camellia Recognition Image Dataset provides diverse high-quality images of camellias to enhance plant recognition capabilities.