Photos | Women's March in the City
Silvia Giner, Megumi Fujii, Jan Friesinger, and Hideo Nakata join the massive crowd in the street holding empowering signs during the Women's March in the city on January 21, 2017.
BLIP-2 Description:
a large group of people holding signs in the streetChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
bracelet activities megumi fujii humanity urban leisure building pre kun compassion rights choke smash transportation grabs hat giner jan girl cut outdoor cience handwriting text performance sky carnist bag city traffic womens document silvia fuck vast white hetero parade glasses shit coachella say teen metropolis rekognition_c banner sign ove car jewelry protect vehicle light accessories skyscraper adventure recreation handbag hideo nakata friesinger st pus protest silence crowd vegan
Detected Text
iso
400
metering mode
5
aperture
f/7.1
focal length
25mm
shutter speed
1/1250s
camera make
Canon
camera model
lens model
date
2017-01-21T11:42:08.900000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(35.84%)
curation
(50.00%)
highlight visibility
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behavioral
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failure
(-0.15%)
harmonious color
(1.42%)
immersiveness
(0.39%)
interaction
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interesting subject
(-36.72%)
intrusive object presence
(-8.18%)
lively color
(16.48%)
low light
(10.01%)
noise
(-2.05%)
pleasant camera tilt
(-7.39%)
pleasant composition
(-79.44%)
pleasant lighting
(-7.01%)
pleasant pattern
(7.30%)
pleasant perspective
(4.70%)
pleasant post processing
(0.67%)
pleasant reflection
(1.01%)
pleasant symmetry
(0.39%)
sharply focused subject
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tastefully blurred
(-6.02%)
well chosen subject
(-13.48%)
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.