Photos | A Crowded Pathway Under Shelter
A large group of people walks under a canopy at the Civic Center Mall in Los Angeles, seeking shelter from the cloudy sky. The lampposts and light fixtures create an architectural backdrop while 14 pairs of shoes, 8 handbags, and various umbrellas and utensils add to the bustling crowd. A few dogs and their owners also make their way through the outdoor pathway.
BLIP-2 Description:
a large group of people walking under a canopyChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
architecture civic cafeteria amusement triangle urban building footwear pedestrian outdoors tent transportation hat sidewalk walkway restaurant road outdoor utensil pet flooring intersection sky shoe bag city mall cloudy dog little tokyo truck park indoors shorts metropolis path umbrella nature canine vehicle light accessories shopping handbag walking canopy center garden lamppost terminal mammal animal floor shop crowd box shelter
iso
20
metering mode
5
aperture
f/1.8
focal length
4mm
latitude
34.06
longitude
-118.25
shutter speed
1/1709s
camera make
Apple
camera model
date
2016-10-29T16:16:23.375000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(33.42%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.60%)
failure
(-0.42%)
harmonious color
(-4.69%)
immersiveness
(2.51%)
interaction
(1.00%)
interesting subject
(-28.74%)
intrusive object presence
(-4.39%)
lively color
(-8.82%)
low light
(0.88%)
noise
(-6.05%)
pleasant camera tilt
(-9.03%)
pleasant composition
(-51.12%)
pleasant lighting
(-18.35%)
pleasant pattern
(33.69%)
pleasant perspective
(8.78%)
pleasant post processing
(-3.53%)
pleasant reflection
(-2.57%)
pleasant symmetry
(5.08%)
sharply focused subject
(0.29%)
tastefully blurred
(-4.64%)
well chosen subject
(-9.41%)
well framed subject
(-34.42%)
well timed shot
(0.14%)
all
(-1.65%)
* 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.