This nighttime photograph captures a lively street scene in Kandahar, Afghanistan. The image features a paved road with pedestrians and a vibrant fruit market on the right. In the foreground, a man, seen from behind, walks on the left side of the road. He is dressed in traditional attire, including a white shalwar kameez, a dark vest, and a light-colored, patterned shawl draped over his shoulders, wearing flip-flops. Further down the street, other men, similarly dressed, are walking. To the right, a fruit market stall is brightly illuminated by artificial lights under a red canopy. A wide variety of fresh produce is displayed prominently. Large stacks of watermelons are a focal point, alongside piles of yellow melons or large mangoes. Smaller fruits such as red cherries, oranges, and plums or grapes are arranged in wooden crates and boxes on the ground and on shelves. In the middle ground, a light-colored SUV is visible on the road, facing away from the viewer, with other vehicles and pedestrians faintly discernible further in the distance. The street is well-lit by a series of modern, double-armed streetlights that extend into the horizon. On the far left, a building with distinctive green lighting can be seen. Power lines and utility poles are visible above the market stalls on the right. The scene depicts evening activity, suggesting local commerce and daily life after dusk in Kandahar. The weather appears clear. No discernible text is visible.Night market bustles with fruit vendors
PRO · LOW-RES
IMAGE
FZ9bcBrC0VWSZqClabGNkeB5wmg2

Wahid_Rahman_Afghanmal

Creator

Tue, Jun 2, 2026, 04:23 PM

21d ago

Kandahar, Afghanistan

31.60997, 65.69848

This nighttime photograph captures a lively street scene in Kandahar, Afghanistan. The image features a paved road with pedestrians and a vibrant fruit market on the right. In the foreground, a man,…read more

untagged

Technical

ID

a735c8039533d77b1015a1b1c597c567154e6a61dd0e8da24feda99eeb0adfd9

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