Dataset Hub

A comprehensive dataset of occluded images for Asian condiment products to enhance computer vision applications.

This dataset is used for identifying parking or slow-moving behaviors in tunnels.

The scientific laboratory instrument readout recognition dataset aids in enhancing the efficiency of scientific data analysis.

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

A dataset focused on canvas shoe images with various occlusion types to improve e-commerce product recognition.

This dataset focuses on image classification of cabbage disease spots, providing high-quality image resources to support agricultural disease detection research.

A dataset dedicated to enhancing the detection of heat shields in industrial environments.

This dataset is used to recognize the occupation status of corridors and public passages.

This dataset provides high-quality image data for orchard yield forecasting, supporting the development of agricultural intelligence.

This dataset contains images of various models of electric wheelchairs for automated classification and recognition.

The School Area Noise Pollution Assessment Dataset focuses on analyzing and evaluating campus noise levels.

This dataset is designed specifically for voice command recognition of home appliances to enhance the user experience of smart devices.

This dataset facilitates automated bearing detection and classification for improved quality control in industrial settings.

This dataset provides images of pasta products with various occlusions to enhance machine learning models in retail.

This dataset focuses on complex traffic scenes of suburban roads, aiming to enhance the accuracy and reliability of target detection technology.

A dataset focused on images of condiment bottles and bags with various levels of occlusion for improved product recognition.

This dataset monitors the consistency of actions in standard assembly steps, aiming to enhance industrial automation levels.

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

A dataset focusing on occluded biscuit product images to improve recognition in retail e-commerce applications.