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 streetMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
flag alas derechos recreation internacional peter bracelet glasses chang jung-sook rally outdoor de perh footwear ist route bag respect international accepte fuses primero lik crowd reque jewelry protest pow mayday_rally sign temorrow ratds akkested shoe handbag es securty day dan dia g mayo inmigrantes parade mayday beca wristwatch road performance alto hat workers text el patoris servic banner divist accessories headgear bike art land
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
overall
(26.88%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.65%)
failure
(-0.15%)
harmonious color
(1.10%)
immersiveness
(0.17%)
interaction
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interesting subject
(-40.14%)
intrusive object presence
(-10.64%)
lively color
(5.81%)
low light
(8.84%)
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
(-71.53%)
well timed shot
(6.78%)
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.