Photos | The Great American Boycott Parade

Nouriel Roubini and Darrell Hammond lead a crowd of 72 people through the city streets, carrying flags and banners for the Great American Boycott in 2007. The urban metropolis came to a standstill as transportation and outdoor recreation took a backseat to the cause.
BLIP-2 Description:
a large crowd of peopleMetadata
Capture date:
Original Dimensions:
2336w x 3504h - (download 4k)
Usage
Dominant Color:
flag urban broadway great_american_boycott footwear darrell american transportation hat hammond unreros road outdoor text performance tarmac city bag shoe land street art tha fronteras machine parade tr audience metropolis bus banner los vehicle car workers boycott accessories recreation handbag st guerrer automobile ene strug de crowd nouriel roubini great
iso
100
metering mode
5
aperture
f/3.2
focal length
90mm
shutter speed
1/1000s
camera make
Canon
camera model
lens model
date
2007-05-01T10:43:53-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(33.42%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.48%)
failure
(-0.42%)
harmonious color
(-0.03%)
immersiveness
(0.61%)
interaction
(1.00%)
interesting subject
(-43.68%)
intrusive object presence
(-7.32%)
lively color
(12.16%)
low light
(5.22%)
noise
(-5.35%)
pleasant camera tilt
(-10.46%)
pleasant composition
(-76.42%)
pleasant lighting
(-2.91%)
pleasant pattern
(9.11%)
pleasant perspective
(8.55%)
pleasant post processing
(3.83%)
pleasant reflection
(-2.94%)
pleasant symmetry
(0.44%)
sharply focused subject
(0.90%)
tastefully blurred
(-6.58%)
well chosen subject
(-10.99%)
well framed subject
(-60.16%)
well timed shot
(7.15%)
all
(-0.78%)
* 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.