Videos for the TSBOW dataset were recorded in South Korea under diverse weather conditions throughout the year: normal, haze, rain, and snow.

Normal:

Sunny and cloudy

Haze:

Haze or foggy

Rain:

Raindrops or active rainfall are evident

Snow:

Visible snowflakes or snowfall

The scenarios are categorized into four distinct types: road, intersection, special cases, and disaster.

Road:

Straight roads or those where traffi flow remains unaffected by traffic lights

Intersection:

Includes three subtypes—T, Y, or crossroad—and extends to scenes where traffi lights or pedestrian crossings inflence traffi flow

Special cases:

Includes videos featuring shared lanes, overpasses, or mid-road construction

Disaster:

Pertains to scenarios where hostile weather severely degrades video quality

The TSBOW dataset classifies data collection zones by the number of straight lanes per direction, excluding turning lanes, into three road types: urban, standard, and boulevard.

Urban:

Two lanes

Standard:

Four lanes

Boulevard:

Over six lanes

CCTV cameras along routes and intersections vary in angle and height, producing bounding box sizes categorized into three scales: fine, medium, and coarse.

Fine:

Near road surface, detailed object visualization

Medium:

Elevated cameras, discernible license plates but reduced clarity

Coarse:

Distant cameras, high vehicle count but partial visibility due to distance and occlusion