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A dataset focusing on images of occluded candy products for improved retail e-commerce solutions.

A specialized dataset for analyzing image occlusions in sports vests to enhance e-commerce performance.

This dataset provides images of road motorcycle traffic accident scenes for object detection and accident analysis.

A dataset designed to enhance skincare product recognition through images depicting occluded products.

This dataset is used to analyze the correctness of thermometer usage to enhance accuracy in medical monitoring.

A comprehensive dataset for classifying different types of beauty devices based on their appearance.

This dataset contains images for classifying electric kettles into various categories based on their appearance.

This dataset focuses on wisteria recognition in garden flowers to improve plant management efficiency.

The Smart Switch Image Classification Dataset is used to enhance the image recognition performance of smart devices.

This dataset focuses on detecting the installation position and integrity of air conditioning outlet guiding blades to ensure controlled airflow.

This dataset provides high-quality images for the detection of seat adjustment levers in industrial applications.

The Onion Harvest Detection Dataset provides precise target detection data for agricultural intelligence, aiding in enhancing harvest efficiency.

This dataset is intended to improve the accuracy and efficiency of sweet potato target detection, promoting the development of smart agriculture.

This dataset is used for the recognition and classification of Orychophragmus violaceus in garden flowers.

A comprehensive dataset for detecting and identifying structural defects in beams.

The land degradation monitoring dataset records images of varying levels of land cracking and degradation to assist AI in monitoring land quality.

The Garden Flowers Blue Potato Tree Recognition Image Dataset is designed to improve the technology of flower recognition in agriculture, forestry, and fishery.

This dataset contains images of vineyard scenes under different seasons and lighting conditions, supporting AI model orchard recognition and analysis.

The durian plantation epiphyte lichen image dataset focuses on enhancing the ability to identify lichens in durian plantation management.

This dataset provides a collection of images focused on occlusions affecting smartwatch usability.