The image captures an urban or suburban street scene at night or late dusk in Ulsan, South Korea. The sky is a deep, dark blue, indicating the time of day. No people are visible in the frame. The foreground features an asphalt road with a prominent white zebra crosswalk. Two white arrows are painted on the road, indicating forward direction through the crosswalk. To the right of the road, a concrete sidewalk is visible, bordered by a yellow curb line. A distinctive detail is the series of luminous red strips embedded along the edge of the sidewalk, likely serving as a safety feature to increase visibility for pedestrians and drivers. A manhole cover is also present near the yellow curb. On the left side of the road, a dense line of trees with varied foliage colors, ranging from green to autumnal orange and red, runs alongside the street. Above the trees and road, multiple power lines stretch across the dark sky, supported by utility poles. Several streetlights cast artificial light on the road and surrounding area, illuminating the scene. In the background, faint lights from distant buildings and possibly moving vehicles are discernible. Notable visible text includes a red traffic light displaying a white "30", likely indicating a speed limit or a specific traffic instruction. Below a traffic light, a blue sign with an arrow clearly shows Korean text: "버스정류장" (Beoseu Jeongnyujang), which translates to "Bus Stop." The scene conveys a sense of quiet urban infrastructure operating during twilight or nighttime hours.

Quiet street scenes documented across Ul

IMAGE

EvgenSmit

Creator

Tue, Apr 21, 2026, 10:25 AM

Ulsan, South Korea

35.50400, 129.41700

The image captures an urban or suburban street scene at night or late dusk in Ulsan, South Korea. The sky is a deep, dark blue, indicating the time of day. No people are visible in the frame. The for…read more

untagged

Technical

77a3f5fa-baed-4c2f-b

𝕏 f in W T

Usage Rights

This media is free for non-commercial use with proper attribution.

Commercial use, AI/ML training, and derivative works are prohibited without explicit consent from the creator.

Licensed under CC BY-NC 4.0 with additional AI/ML restrictions. Full terms →

View event cluster