Photos | Metropolis Traffic

A busy intersection in the heart of the city showcases the hustle and bustle of urban transportation with fifteen cars and ten people crossing the road on foot. The towering office buildings, fire hydrants, and lush trees lining the sidewalk add to the cityscape ambiance. A glimpse of the freeway and high rises in the background gives a sense of the grandeur of this metropolis. Accessories like shoes and handbags pop up from the sidewalks every now and then, making it seem like a busy shopping district.
BLIP-2 Description:
a city street with cars and trees in the middleMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
architecture spoke hydrant neighborhood urban plant building coupe footwear lane metropolitan highway transportation sidewalk area tree road outdoor freeway intersection high rise traffic tarmac city bag shoe license land street fire machine parking metropolis path bus cityscape wheel tire rekognition_c car vehicle fir accessories skyscraper office downtown town alloy wheel sports lot plate automobile walkabout handbag
iso
800
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2008-03-06T17:38:52-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(40.06%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.42%)
failure
(-0.85%)
harmonious color
(2.63%)
immersiveness
(28.39%)
interaction
(1.00%)
interesting subject
(-41.19%)
intrusive object presence
(-3.27%)
lively color
(0.68%)
low light
(2.32%)
noise
(-5.18%)
pleasant camera tilt
(-4.32%)
pleasant composition
(-33.91%)
pleasant lighting
(-14.42%)
pleasant pattern
(13.28%)
pleasant perspective
(19.71%)
pleasant post processing
(-1.21%)
pleasant reflection
(-1.86%)
pleasant symmetry
(3.49%)
sharply focused subject
(0.49%)
tastefully blurred
(-13.79%)
well chosen subject
(3.45%)
well framed subject
(-39.43%)
well timed shot
(0.59%)
all
(4.20%)
* 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.