Photos | Great American Boycott Parade

A crowd of 65 people, including K. Jennitha Anto and Satyajit Biswas, march down a city street holding American flags during the 2007 Great American Boycott, an outdoor performance and recreation event to raise awareness for land and immigration issues.
BLIP-2 Description:
a crowd of people holding american flags and walking down a streetMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
grabamos architecture jeans boy pants flag urban great_american_boycott building $ child footwear igraving american hat road outdoor 詡 performance city shoe biswas land street art 羽 k. jennitha anto machine parade goll 珝羽 metropolis sign boycott recreation dova ssoiab braceros force bancomer crowd satyajit great
Detected Text
iso
100
metering mode
5
aperture
f/2.8
exposure bias
1
focal length
24mm
shutter speed
1/1000s
camera make
Canon
camera model
lens model
date
2007-05-01T11:09:57-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(36.89%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.52%)
failure
(-0.22%)
harmonious color
(-1.21%)
immersiveness
(0.59%)
interaction
(1.00%)
interesting subject
(-37.55%)
intrusive object presence
(-11.11%)
lively color
(4.52%)
low light
(4.79%)
noise
(-1.88%)
pleasant camera tilt
(-10.28%)
pleasant composition
(-88.48%)
pleasant lighting
(-20.42%)
pleasant pattern
(6.01%)
pleasant perspective
(-3.22%)
pleasant post processing
(0.06%)
pleasant reflection
(0.01%)
pleasant symmetry
(0.49%)
sharply focused subject
(0.24%)
tastefully blurred
(-0.96%)
well chosen subject
(8.95%)
well framed subject
(-71.88%)
well timed shot
(9.58%)
all
(-3.44%)
* 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.