Photos | Metropolis protest march
Shen Yang, Sneha Deepthi, Ivana Maria Furtado, and Masira Surin join the crowd in a school walkout to stand up for their rights and protest against the system. The urban backdrop of the city, office building, palm tree and arch are a testament to their march in the heart of the metropolis.
BLIP-2 Description:
a group of people standing in front of a buildingChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
2336w x 3504h - (download 4k)
Usage
Dominant Color:
architecture jeans necklace pants arch urban plant building window deepthi footwear microphone hat wristwatch teac crowd tree city bag shoe sneha surin shen yang parade glasses audience school oath metropolis photographer ivana maria furtado sign jewelry accessories office device palm walkout protest handbag masira electrical
iso
100
metering mode
5
aperture
f/4
focal length
17mm
shutter speed
1/1250s
camera make
Canon
camera model
lens model
date
2006-03-27T11:56:54-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(47.09%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.57%)
failure
(-0.17%)
harmonious color
(0.20%)
immersiveness
(0.73%)
interaction
(1.00%)
interesting subject
(1.47%)
intrusive object presence
(-6.69%)
lively color
(2.11%)
low light
(1.95%)
noise
(-0.85%)
pleasant camera tilt
(-6.10%)
pleasant composition
(-55.71%)
pleasant lighting
(-5.51%)
pleasant pattern
(12.28%)
pleasant perspective
(16.44%)
pleasant post processing
(3.21%)
pleasant reflection
(-0.11%)
pleasant symmetry
(1.49%)
sharply focused subject
(0.83%)
tastefully blurred
(0.07%)
well chosen subject
(-1.90%)
well framed subject
(-24.82%)
well timed shot
(12.17%)
all
(2.82%)
* 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.