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

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

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

Evaluate how well models understand road sign locations along 2D routes using travel direction, sign order, and left-right annotations.

Evaluate road network mapping and feasible route planning against the operational locations and access constraints of Ro-Ro terminals.

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

Evaluate how well models understand cross-layer positions, alignment, and containment in HD maps featuring lane markings and road boundaries.

Connect webpage text, evidence paragraphs, and structured verification labels to help models assess the temporal and scenario boundaries of transportation forecasts.

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

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

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

Train models to reason over highway lane topology and accurately determine whether lanes and exits are connected through multi-hop question answering.

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

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

Trace case context, responsibility analysis, and outcomes in road traffic accident rescue documents to help models understand complex legal disputes.

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

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

Train models to generate clearly structured advertising text for outdoor media using verifiable layout constraints across multiple display formats.

Test whether models can extract key passenger railcar specifications from product pages and link them to the correct model version.

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