Photos | The Great American Boycott March
Clay Cane and Niranjan Jyoti are among the 49 people shown here marching through the metropolis with signs and flags advocating for change. The crowded procession traveled down busy roads, showing great artistry in their banners and clothing while exercising their right to protest.
BLIP-2 Description:
a group of people holding signs and flags in the streetChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
pen america flag urban great_american_boycott howgirls footwear american hington jyoti hooper left road outdoor text performance city shoe land jag street art citizen niranjan parade parking sfg clay cane metropolis banner sign boycott enterta recreation stop live strengthen raids protest crowd great 一
Detected Text
iso
100
metering mode
5
aperture
f/2.8
exposure bias
1
focal length
45mm
shutter speed
1/1250s
camera make
Canon
camera model
lens model
date
2007-05-01T09:45:28-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(37.52%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.38%)
failure
(-0.27%)
harmonious color
(-2.01%)
immersiveness
(0.37%)
interaction
(1.00%)
interesting subject
(-14.88%)
intrusive object presence
(-10.35%)
lively color
(2.76%)
low light
(6.08%)
noise
(-2.61%)
pleasant camera tilt
(-8.44%)
pleasant composition
(-77.73%)
pleasant lighting
(-9.02%)
pleasant pattern
(7.57%)
pleasant perspective
(3.23%)
pleasant post processing
(3.56%)
pleasant reflection
(-1.10%)
pleasant symmetry
(0.39%)
sharply focused subject
(0.22%)
tastefully blurred
(-6.73%)
well chosen subject
(-8.25%)
well framed subject
(-54.15%)
well timed shot
(7.75%)
all
(-1.91%)
* 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.