Dataset Hub

The highway visibility in adverse weather estimation image dataset provides high-quality images for improving road visibility assessment under harsh weather conditions.

The Adverse Weather Road Image Classification Dataset focuses on enhancing the performance of intelligent transportation systems under complex meteorological conditions.

The cabin voice assistant control command dataset is designed specifically for optimizing voice recognition and control in vehicular driving.

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

A video dataset for automatic detection of traffic accidents in tunnels, enhancing the responsiveness of intelligent transportation systems.

This dataset is used for vehicle type recognition and counting in highway environments.

The License Plate Recognition Training Image Dataset focuses on enhancing license plate recognition capabilities in traffic monitoring systems.

This dataset focuses on audio data for detecting dangerous driving behaviors in driver training.

This dataset is specifically designed for autonomous driving and intelligent transportation systems, containing high-precision annotated lane line image data.

This dataset contains high-definition videos for analyzing and optimizing watering operations.

The Highway Speed Limit Sign Image Dataset focuses on improving the accuracy of traffic sign recognition systems.

The Traffic Signal Recognition Image Dataset is designed to enhance the signal recognition capabilities of autonomous driving systems.

A video dataset to enhance the performance of highway visibility estimation models under adverse weather conditions.

The Underground Parking Pedestrian and Vehicle Mixed Traffic Image Dataset is a key resource for enhancing perception capabilities in mixed traffic environments.

This dataset is used to recognize prohibition signs in road construction areas, enhancing safety protection levels.

The China Traffic Sign Detection Dataset is used to optimize the recognition capability of signs in driver assistance systems.

The Island Aerial View Vehicle Traffic Video Dataset is designed to enhance the accuracy of traffic monitoring and road flow analysis.

The Toll Station Entrance Recognition Image Dataset is used to improve the detection and recognition efficiency of toll stations in traffic driving.

This dataset is used for the lane segmentation task in autonomous driving systems to improve driving safety and accuracy.

This dataset is specifically designed for detecting violation behaviors at crossroads to enhance the intelligence level of traffic safety monitoring.