Photos | Women's March in the City
A crowd of 30 people gather with signs and accessories to protest and rally for women's rights in the heart of the metropolis.
BLIP-2 Description:
a large crowd of people holding signs and holding up signsChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Dominant Color:
activities headgear r urban plant building pre leisure mobile le apershing miake square 不 transportation grand hat offroad library tree racing everyone outdoor trrific text sky hill grees 什 入 city womens bunker central liem parade glasses race coachella metropolis auto ante quang rekognition_c billboards sign electronics car vehicle banner sport rally flight accessories best skyscraper adventure market signs phone palm wdocue protest angels crowd dídac lee great
Detected Text
iso
400
metering mode
5
aperture
f/8
focal length
16mm
shutter speed
1/1600s
camera make
Canon
camera model
lens model
date
2017-01-21T11:16:46.130000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(29.47%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.72%)
failure
(-0.24%)
harmonious color
(-0.90%)
immersiveness
(0.22%)
interaction
(1.00%)
interesting subject
(-67.38%)
intrusive object presence
(-9.35%)
lively color
(0.66%)
low light
(23.66%)
noise
(-1.54%)
pleasant camera tilt
(-8.85%)
pleasant composition
(-93.12%)
pleasant lighting
(-38.84%)
pleasant pattern
(4.47%)
pleasant perspective
(-13.07%)
pleasant post processing
(3.23%)
pleasant reflection
(3.70%)
pleasant symmetry
(0.20%)
sharply focused subject
(0.32%)
tastefully blurred
(-5.17%)
well chosen subject
(1.57%)
well framed subject
(-71.83%)
well timed shot
(1.90%)
all
(-7.42%)
* 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.