Photos | March for America Caption: Lachlan Sharp, Ivana Maria Furtado, Antônio Rogério Nogueira, Jiggy Manicad, Gouher Sultana, and Hayato Tani join a crowd of 63 people at the March for America parade, holding flags and signs for their cause.
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BLIP-2 Description:
a large group of people holding american flags and signsChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
ivana bracelet activities manicad necklace flag leisure jiggy ala footwear mass transportation wristwatch hat hayato text performance furtado shoe maria usa art gouher sultana hr parade biii glasses nec united banner sign car jewelry vehicle accessories adventure lachlan sharp recreation ent tani protest california createo stand crowd march antônio rogério nogueira
Detected Text
iso
100
metering mode
5
aperture
f/4
focal length
17mm
shutter speed
1/800s
camera make
Canon
camera model
lens model
date
2006-03-25T10:45:17-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(35.01%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.61%)
failure
(-0.10%)
harmonious color
(-0.08%)
immersiveness
(0.10%)
interaction
(1.00%)
interesting subject
(-18.47%)
intrusive object presence
(-19.58%)
lively color
(5.20%)
low light
(3.69%)
noise
(-1.25%)
pleasant camera tilt
(-9.50%)
pleasant composition
(-91.46%)
pleasant lighting
(-23.19%)
pleasant pattern
(3.39%)
pleasant perspective
(-1.70%)
pleasant post processing
(-0.02%)
pleasant reflection
(-1.19%)
pleasant symmetry
(0.17%)
sharply focused subject
(0.29%)
tastefully blurred
(-5.60%)
well chosen subject
(-12.39%)
well framed subject
(-60.99%)
well timed shot
(23.72%)
all
(-3.60%)
* 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.