Photos | The Great American Boycott Protesters Take to the Streets
A crowd of 32 people, predominantly men, take to the street holding signs promoting awareness for the boycott. Bicycles and cars pass by as they chant and hold up banners advocating for change.
BLIP-2 Description:
a group of people holding signs and protesting on the streetChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
urban ilegales supremacistas disney abc mobile american ino productos gold somos paul lans parade glasses prom electronics doug los boicot cycling st harvey crowd great westerz transportation road outdoor city street television machine wheel contra sign vehicle yagsta recreation mcintyre dient's device 目 microphone todos ry demandamos art bicycle sport light boycott expulsion stop protest electrical eve flag great_american_boycott footwear hat wristwatch europeans la oro traffic shoe land poster sus metropolis banner disnoyland car accessories tes diamonds radio blancos phone advertisement de racism 一
Detected Text
iso
100
metering mode
5
aperture
f/2.8
exposure bias
1
focal length
24mm
shutter speed
1/800s
camera make
Canon
camera model
lens model
date
2007-05-01T11:12:33-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(45.12%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.74%)
failure
(-0.17%)
harmonious color
(1.57%)
immersiveness
(0.78%)
interaction
(1.00%)
interesting subject
(-9.77%)
intrusive object presence
(-13.16%)
lively color
(7.19%)
low light
(2.86%)
noise
(-2.12%)
pleasant camera tilt
(-6.30%)
pleasant composition
(-69.92%)
pleasant lighting
(1.03%)
pleasant pattern
(12.06%)
pleasant perspective
(5.18%)
pleasant post processing
(4.50%)
pleasant reflection
(0.52%)
pleasant symmetry
(1.00%)
sharply focused subject
(0.95%)
tastefully blurred
(-1.57%)
well chosen subject
(-9.20%)
well framed subject
(-45.90%)
well timed shot
(5.24%)
all
(1.01%)
* 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,
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