Photos | Patriotic Parade

A large crowd of 44 people, including Priscilla Lopes-Schliep, Caitlin Foord, Shiva Rajkumar, Priyanka Roy, and Dipak Sarma, proudly wave American flags and hold signs while parading through the city streets.
BLIP-2 Description:
a large crowd of people holding american flags and signsMetadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
dipak sarma protest sc urban city recreation vehicle shiva rajkumar tr answerla immigrants transportation stoppi priscilla lopes-schliep caitlin accessories sign traffic atf performance erla roy glasses away al footwear full crowd foord tor mmigrants banner igrants parade rights stoppin ación no pr light org haway text metropolis canon eos priyanka art flag spring tow shoe
Detected Text
flash fired
true
iso
100
metering mode
5
aperture
f/1.2
focal length
85mm
shutter speed
1/8000s
camera make
Canon
camera model
lens model
date
2006-05-01T13:02:12-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(36.96%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.38%)
failure
(-0.51%)
harmonious color
(-0.03%)
immersiveness
(0.20%)
interaction
(1.00%)
interesting subject
(-18.29%)
intrusive object presence
(-27.34%)
lively color
(9.72%)
low light
(17.46%)
noise
(-2.17%)
pleasant camera tilt
(-7.35%)
pleasant composition
(-78.08%)
pleasant lighting
(-21.35%)
pleasant pattern
(5.79%)
pleasant perspective
(2.71%)
pleasant post processing
(2.68%)
pleasant reflection
(-0.68%)
pleasant symmetry
(0.61%)
sharply focused subject
(1.39%)
tastefully blurred
(10.63%)
well chosen subject
(7.97%)
well framed subject
(-31.40%)
well timed shot
(14.82%)
all
(-1.37%)
* 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.