Photos | May Day Protest Rally
A crowd of 42 people, including Chang Jung-sook and Peter Lik, take to the streets holding signs, flags and banners during the May Day Protest Rally in 2008. The rally was a peaceful demonstration for workers' rights and social justice.
BLIP-2 Description:
a group of people holding flags and signs in a streetChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
g bracelet temorrow headgear pow perh peter flag footwear alas dan hat wristwatch chang jung-sook mayo route lik road outdoor mayday_rally text performance shoe bag reque alto land art fuses inmigrantes parade glasses derechos patoris banner sign ist ratds securty jewelry divist workers rally respect accessories international recreation handbag es servic bike mayday el primero beca protest day accepte internacional de día akkested crowd
Detected Text
iso
100
metering mode
5
aperture
f/7.1
focal length
16mm
shutter speed
1/320s
camera make
Canon
camera model
lens model
date
2008-05-01T12:11:48-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(26.88%)
curation
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highlight visibility
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behavioral
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failure
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harmonious color
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immersiveness
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interaction
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interesting subject
(-40.14%)
intrusive object presence
(-10.64%)
lively color
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low light
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noise
(-2.56%)
pleasant camera tilt
(-10.30%)
pleasant composition
(-93.46%)
pleasant lighting
(-43.02%)
pleasant pattern
(2.76%)
pleasant perspective
(-18.09%)
pleasant post processing
(0.62%)
pleasant reflection
(1.84%)
pleasant symmetry
(0.07%)
sharply focused subject
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tastefully blurred
(-1.88%)
well chosen subject
(-20.10%)
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.