Photos | The Great American Boycott Protest
Jacob Soboroff, Mariana Mohammad, Niranjan Jyoti, and Erik Spoelstra join a crowd of 50 people holding signs and flags during a protest against immigration reform in the city streets. The vibrant banners and colorful flags displayed the message for a better future while the roads were filled with people marching for their rights.
BLIP-2 Description:
a large group of people holding signs and flagsMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
raids urban flag street glasses hooper transportation outdoor erik hington pfn footwear boycott parking ra war no stop crowd city legalización protest las american sign fails te left rals shoe jacob soboroff live mohammad mito san parade metropolis road niranjan jyoti vehicle alto mariana great_american_boycott great todos text enserta je hat deportations spoelstra banner nara dp accessories rails ne art land
Detected Text
iso
100
metering mode
5
aperture
f/2.8
exposure bias
1
focal length
38mm
shutter speed
1/1600s
camera make
Canon
camera model
lens model
overall
(32.81%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.59%)
failure
(-0.22%)
harmonious color
(-2.35%)
immersiveness
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interaction
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interesting subject
(-31.67%)
intrusive object presence
(-18.60%)
lively color
(1.64%)
low light
(5.81%)
noise
(-3.34%)
pleasant camera tilt
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pleasant composition
(-85.06%)
pleasant lighting
(-13.99%)
pleasant pattern
(10.01%)
pleasant perspective
(4.96%)
pleasant post processing
(0.05%)
pleasant reflection
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pleasant symmetry
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sharply focused subject
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tastefully blurred
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well chosen subject
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well framed subject
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well timed shot
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all
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* 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.