Dataset Hub

A dataset designed for detecting assembly positions of USB interfaces in industrial applications.

The Front Lamp Detection Dataset facilitates automated quality assurance in industrial settings.

A dataset designed for the detection of circlips in industrial assembly processes.

This dataset provides images for connector detection aimed at improving automated inspection processes.

A dataset designed for detecting the installation status and missing components of engine cylinder heads.

A dataset for inspecting industrial pipe fittings to enable automated quality assurance.

This dataset facilitates the detection of deformations or detachments in refrigerator door seals.

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

A dataset for detecting engine cylinder bodies through multi-angle images.

A dataset for detecting defects in crystal oscillators to enhance quality control in industrial applications.

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

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

A dataset for spark plug inspection aimed at enhancing high-precision model training.

A comprehensive dataset for detecting engine oil seal integrity through image analysis.

This dataset focuses on detecting aesthetic defects in rice cooker shells during the injection molding process.

This dataset is designed to identify potential anomalies in motor bearings to prevent abnormal noise during operation.

A dataset focused on detecting failures in electric rice cooker switch buttons.

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

A dataset focused on the identification and detection of defects in locking components for industrial quality inspections.

This dataset is used to identify if an operator or robot has correctly completed a tightening action.