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

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

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

Paired original topology, error analysis, and repair targets teach models to identify intersection issues and generate consistent topology structures.

Train and evaluate in-vehicle safety models with images and annotations focused on driver eye and mouth states and drowsiness risk.

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

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

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

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

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.

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

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

Train and evaluate topology-based reasoning with connectivity questions grounded in closed-campus HD maps.

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

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

Trace out-of-home ad claims from claim extraction through evidence linking to an overall fact-review conclusion.

Train lane-level spatial localization and structured-output models with lane geometry anchors and their map-matching results.

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

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