Photos | March for Justice
Myrlie Evers-Williams leads a crowd of 63 people walking down a busy street, holding up signs demanding justice and equality for all. The parade of protesters makes quite the sight with their colorful banners and flags waving in the wind.
BLIP-2 Description:
a large group of people walking down a street holding signsChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
jeans pants flag urban utamos mañana footwear transportation hat todos muro hoy road outdoor cast text performance million bag shoe city traffic land street art mana marcham hr parade no poster myrlie evers-williams iana metropolis banner sign contra car vehicle light accessories recreation handbag marchamos el protest advertisement crowd vot tun
Detected Text
flash fired
true
iso
100
metering mode
5
aperture
f/4
focal length
17mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2006-05-01T11:20:11-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(34.03%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.45%)
failure
(-0.22%)
harmonious color
(-1.45%)
immersiveness
(0.68%)
interaction
(1.00%)
interesting subject
(-45.02%)
intrusive object presence
(-7.10%)
lively color
(-0.22%)
low light
(7.37%)
noise
(-2.78%)
pleasant camera tilt
(-11.08%)
pleasant composition
(-85.64%)
pleasant lighting
(-28.17%)
pleasant pattern
(7.40%)
pleasant perspective
(-0.48%)
pleasant post processing
(-0.18%)
pleasant reflection
(-1.90%)
pleasant symmetry
(0.59%)
sharply focused subject
(0.22%)
tastefully blurred
(-11.41%)
well chosen subject
(1.32%)
well framed subject
(-68.70%)
well timed shot
(5.08%)
all
(-4.99%)
* 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.