Photos | A Metropolis in the Clouds

The stunning cityscape seen from The Broad's window captures the urban and natural elements. The blue sky, cumulus clouds, and hilly landscape make for a breathtaking view. The city's architecture, including the dome, spire, and two towers, stand tall amidst the construction cranes and high-rise buildings. The sunset casts a warm glow, illuminating the five cars and transportation systems below.
BLIP-2 Description:
a view of the city from a windowMetadata
Capture date:
Original Dimensions:
3264w x 2448h - (download 4k)
Usage
Location:
skyline united states city urban outdoors dining observatory hill apple nature car vehicle crane sky construction los high transportation downtown view area cumulus cloud tower outdoor states road iphone building grand september architecture ave skyscraper spire continental dusk office rise dinner metropolis fall dome sunlight angeles horizon united aerial california broad sunset cityscape cloudy land blue sky ca weather neighborhood
iso
32
metering mode
5
aperture
f/2.2
focal length
4mm
latitude
34.05
longitude
-118.25
shutter speed
1/125s
camera make
Apple
camera model
lens model
date
2015-09-08T19:01:41.214000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(38.55%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.53%)
failure
(-0.32%)
harmonious color
(5.08%)
immersiveness
(2.12%)
interaction
(1.00%)
interesting subject
(-43.73%)
intrusive object presence
(-53.27%)
lively color
(-11.61%)
low light
(4.88%)
noise
(-0.63%)
pleasant camera tilt
(-11.92%)
pleasant composition
(-49.29%)
pleasant lighting
(-22.36%)
pleasant pattern
(2.56%)
pleasant perspective
(24.18%)
pleasant post processing
(-1.34%)
pleasant reflection
(-1.72%)
pleasant symmetry
(0.76%)
sharply focused subject
(0.34%)
tastefully blurred
(0.46%)
well chosen subject
(11.22%)
well framed subject
(-3.98%)
well timed shot
(6.85%)
all
(0.55%)
* WARNING: The title and caption of this image were generated by an AI LLM (gpt-3.5-turbo-0301
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.