Photos | Patriotic Protesters
Boris Grebenshchikov and Jay Cayuca lead a massive crowd of 62 people in a performance of American patriotism during the 2007 Great American Boycott. The banner and flags add to the festive and urban atmosphere of the event.
BLIP-2 Description:
a large crowd of people holding american flagsChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
2336w x 3504h - (download 4k)
Usage
Dominant Color:
laws xing flag urban great_american_boycott building history american movemest outdoor ped family one text immigration performance city alto terrorist art venue parade audience metropolis banner fount work racist boris grebenshchikov cayuca nro boycott las recreation country mexica jay support sports wa hon crowd great
Detected Text
iso
100
metering mode
5
aperture
f/7.1
exposure bias
0.32999999999999996
focal length
200mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2007-05-01T10:46:43-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(40.43%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.41%)
failure
(-0.22%)
harmonious color
(6.57%)
immersiveness
(0.27%)
interaction
(1.00%)
interesting subject
(-35.74%)
intrusive object presence
(-9.74%)
lively color
(23.74%)
low light
(8.89%)
noise
(-1.12%)
pleasant camera tilt
(-8.41%)
pleasant composition
(-64.50%)
pleasant lighting
(5.55%)
pleasant pattern
(16.80%)
pleasant perspective
(17.93%)
pleasant post processing
(-2.01%)
pleasant reflection
(-1.10%)
pleasant symmetry
(2.12%)
sharply focused subject
(1.68%)
tastefully blurred
(6.41%)
well chosen subject
(-5.62%)
well framed subject
(-26.71%)
well timed shot
(6.33%)
all
(3.39%)
* 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.