Photos | Massive Crowd Protests in the Metropolis
Dozens of people took to the streets in a show of solidarity and resistance, marking a historic moment in the city's history.
BLIP-2 Description:
a large crowd of people holding signs and flagsChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
tie fornia manicad nner along border formal flag urban jiggy endorse iticians footwear mass ring transportation hat wristwatch doksv gainst brothers scarlett estevez cism rignes text performance city bag shoe art vegas king glove vigilantes hr meijiao parade biii ar full igrant glasses audience metropolis wear united banner sign rumeli dhar vehicle anti sisters accessories las ion recreation handbag lachlan sharp stop orld created protest lin stand young crowd march hunting
Detected Text
iso
100
metering mode
5
aperture
f/4
focal length
17mm
shutter speed
1/1000s
camera make
Canon
camera model
lens model
date
2006-03-25T10:45:20-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(30.81%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.53%)
failure
(-0.17%)
harmonious color
(-1.04%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(-49.44%)
intrusive object presence
(-8.98%)
lively color
(9.50%)
low light
(9.64%)
noise
(-2.03%)
pleasant camera tilt
(-11.83%)
pleasant composition
(-89.94%)
pleasant lighting
(-26.54%)
pleasant pattern
(5.79%)
pleasant perspective
(-4.97%)
pleasant post processing
(3.67%)
pleasant reflection
(-1.68%)
pleasant symmetry
(0.22%)
sharply focused subject
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tastefully blurred
(-18.36%)
well chosen subject
(0.21%)
well framed subject
(-68.07%)
well timed shot
(6.27%)
all
(-4.98%)
* 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.