Photos | Mist and Metropolis

A sweeping view of a city skyline blanketed by a dense morning fog, showcasing the interplay of architecture and nature's whims.
Full Description:
Captured on May 11, 2024, this photograph presents a stunning cityscape enveloped in fog, with a prominent bridge curving gracefully across the frame. The image is part of the Tilden Steam Trains and Merry-go-round album and reflects a common atmospheric condition influenced by both natural weather and urban pollution. The shot emphasizes the silhouettes of towering skyscrapers barely visible through the hazy air, symbolizing the constant but often overlooked tension between urban development and environmental conditions. The bridge, with its stark lines cutting through the fog, adds a layer of geometric contrast to the organic forms created by the cloud cover. This photograph not only captures a moment in time but also invites reflection on the impact of urban environments on natural visibility and air quality.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
100
metering mode
5
aperture
f/10
focal length
500mm
shutter speed
1/500s
camera make
Canon
camera model
lens model
date
2024-05-11T16:21:08.320000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(45.46%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.32%)
failure
(-3.15%)
harmonious color
(2.44%)
immersiveness
(2.05%)
interaction
(2.00%)
interesting subject
(-48.24%)
intrusive object presence
(-9.89%)
lively color
(-8.70%)
low light
(8.15%)
noise
(-3.81%)
pleasant camera tilt
(-4.20%)
pleasant composition
(-3.17%)
pleasant lighting
(-28.03%)
pleasant pattern
(9.01%)
pleasant perspective
(13.06%)
pleasant post processing
(5.26%)
pleasant reflection
(5.53%)
pleasant symmetry
(1.61%)
sharply focused subject
(0.90%)
tastefully blurred
(-8.24%)
well chosen subject
(-2.11%)
well framed subject
(-3.50%)
well timed shot
(-0.63%)
all
(3.29%)
* WARNING: The title and caption of this image were generated by an AI LLM (gpt-4-turbo-2024-04-09
from
OpenAI)
using OpenAI's Vision functionality
, tags,
location,
people
and album metadata from the image and are
potentially inaccurate, often hilariously so. If you'd like me to adjust anything,
just reach out.