Photos | Metropolis Vista: An Urban Discovery

Captured on January 14th, 2024, this riveting cityscape offers a serene view of a bustling metropolis from a vantage point atop a picturesque hill. The delicate interplay of architecture and nature - highlighted by the silhouette of towering buildings flanked by lush greenery and fir trees - renders a profound narrative of urban encroachment into the countryside. An enigmatic monastery in the backdrop adds an intriguing element to the mix. Mother Nature's artistry is beautifully depicted with the inviting sky, whispering tales of numerous, unscripted wilderness adventures.
BLIP-2 Description:
a view of a city from a hillMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
architecture weather neighborhood urban plant building plateau wilderness silhouette view peak outdoors cloud tree field outdoor sky hill landscape city land grassland scenery randoms water january metropolis mountain cityscape nature fir slope countryside ocean range cloudy aerial monastery vegetation
iso
100
metering mode
5
aperture
f/5.6
focal length
70mm
shutter speed
1/320s
camera make
Canon
camera model
lens model
date
2024-01-14T15:49:10.850000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(43.48%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.44%)
failure
(-0.71%)
harmonious color
(1.30%)
immersiveness
(3.91%)
interaction
(1.00%)
interesting subject
(-48.54%)
intrusive object presence
(-9.42%)
lively color
(-22.81%)
low light
(2.66%)
noise
(-2.25%)
pleasant camera tilt
(-6.53%)
pleasant composition
(-26.73%)
pleasant lighting
(-33.89%)
pleasant pattern
(1.20%)
pleasant perspective
(28.20%)
pleasant post processing
(-0.65%)
pleasant reflection
(-3.06%)
pleasant symmetry
(0.37%)
sharply focused subject
(0.51%)
tastefully blurred
(-2.94%)
well chosen subject
(2.71%)
well framed subject
(-21.84%)
well timed shot
(3.67%)
all
(0.48%)
* WARNING: The title and caption of this image were generated by an AI LLM (gpt-4-0613
from
OpenAI)
based on a
BLIP-2 image-to-text labeling, 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.