Photos | Patriotic Parade in the Urban Metropolis
A crowd of 69 people, including Rimpa Siva, Kennedy Polamalu, Kaan Aydogdu, Arjun Halappa, and Rajeev Karwal, walk down a street in the city waving American flags during a lively parade.
BLIP-2 Description:
a large group of people walking down a street with american flagsChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
architecture flag robert urban building mayoreo footwear american optometrists hat rimpa siva road outdoor text performance traffic city shoe land andrew street art hacidase cante balfour parade glasses polamalu rajeev karwal dr metropolis banner jewelry light arjun accessories recreation puedell importado kaan aydogdu de crowd kennedy halappa
Detected Text
flash fired
true
iso
100
metering mode
5
aperture
f/4
focal length
17mm
shutter speed
1/800s
camera make
Canon
camera model
lens model
date
2006-05-01T11:27:47-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(35.57%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.56%)
failure
(-0.15%)
harmonious color
(-2.56%)
immersiveness
(0.49%)
interaction
(1.00%)
interesting subject
(-35.57%)
intrusive object presence
(-15.80%)
lively color
(-5.51%)
low light
(11.96%)
noise
(-2.39%)
pleasant camera tilt
(-10.69%)
pleasant composition
(-91.11%)
pleasant lighting
(-28.49%)
pleasant pattern
(6.88%)
pleasant perspective
(7.09%)
pleasant post processing
(1.53%)
pleasant reflection
(1.02%)
pleasant symmetry
(0.51%)
sharply focused subject
(0.12%)
tastefully blurred
(-11.00%)
well chosen subject
(12.52%)
well framed subject
(-68.95%)
well timed shot
(24.07%)
all
(-2.78%)
* NOTE: Amazon Rekognition
detected a celebrity in this image using the
Celebrity Recognition API. The API isn't perfect, but it does give you the MatchConfidence which I display
next to the celebrity's name along with links _↗ to their info.
* 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.