The image, taken in Krasnoyarsk, Russia, captures a serene urban scene during what appears to be the golden hour, either late afternoon or early evening. The sky is partly cloudy, with white and grey clouds illuminated by warm sunlight, contrasting with clear blue patches. In the foreground, multiple rows of rental electric scooters are neatly parked on an asphalt surface. The prominent yellow scooters feature "Яндекс Go" branding, clearly visible on their front plates, along with various identification numbers such as "00434475", "00128074", "00378509", "308533", "159368", "09308", "48407", "00408", "1503", "6070", "442984", "443408", "507466", "61", and "403215". Further back, another set of electric scooters with purple bodies and black accents are also lined up. The setting includes a wide, multi-span bridge in the mid-ground, likely crossing a large river such as the Yenisei. Beyond the bridge, a distant cityscape with numerous buildings is visible, bathed in the soft light of the low sun. Streetlights and utility poles punctuate the scene, suggesting a well-developed urban environment. There are no people visible, giving the impression of a quiet moment in a busy city. The overall atmosphere is tranquil, highlighting urban infrastructure and modern transportation options under a dramatic sky.Coffee van and street art spotted in riv
IMAGE
gg3PsaC7eBQoreRHwjzoP6XhYFz1

WILD LIFE

Creator

Thu, Apr 16, 2026, 12:10 PM

Krasnoyarsk, Russia

56.00700, 92.87700

The image, taken in Krasnoyarsk, Russia, captures a serene urban scene during what appears to be the golden hour, either late afternoon or early evening. The sky is partly cloudy, with white and grey…read more

Freedom
Urban
Serenity
Efficiency
Potential

Technical

ID

a314c2a2-acf8-4a67-b

𝕏finWT

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