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A dataset designed for microchip inspection, enhancing defect detection and quality assurance in the industrial sector.

This dataset is used for green chili damage recognition, supporting object detection tasks and promoting agricultural intelligence.

The Orchard Scene Recognition Dataset provides high-quality images and annotations for agricultural object detection, aiding in orchard management and monitoring.

The Tea Garden Landscape Recognition Dataset aims to enhance tea garden management efficiency through image classification technology.

This dataset provides high-quality object detection data for grape sorting machinery monitoring in the agricultural field.

This dataset offers a rich collection of women's overcoat images with varying degrees of occlusion for enhanced fashion recognition.

This dataset provides a large number of flower images to support plant identification and agricultural applications.

The agricultural labor teaching dataset provides a rich image data resource for agricultural education, aiding skills transfer and technical training.

This dataset focuses on the object detection of rice cooker control panels, aiding in the quality improvement of smart home products.

This dataset provides images for detecting defects in oil sumps of engines.

This dataset provides detection data of vehicles occupying green spaces and public areas under various urban environments, aiding in traffic management and environmental protection.

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

A dataset focused on detecting gear shift levers to improve manual transmission assembly processes.

This dataset provides a comprehensive collection of images focused on occlusions affecting athletic pants in retail settings.

This dataset provides high-quality images for rice tillering recognition, supporting precision agriculture applications in the agriculture and forestry fields.

A key image dataset for improving the accuracy of automatic recognition systems for server cabinet appearances.

The CT Imaging Lung Nodule Detection Dataset focuses on improving the accuracy of lung nodule detection in the healthcare sector.

The Agapanthus Recognition Image Dataset for Garden Flowers is a high-quality image dataset designed to enhance recognition of agricultural and forestry flowers.

This dataset is used for AI automatic recognition and claim assistance of flood disaster farmland images.