Photos | Great American Boycott Protesters Fill the Streets
A massive crowd of people, including Clarence Delgado, Tan Dun, Leticia R. Van de Putte, Rajyavardhan Singh Rathore, Neetu David, and Mona Shourie Kapoor, hold signs and banners as they march down the road during the 2007 Great American Boycott.
BLIP-2 Description:
a large group of people holding signs and banners in the streetMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
yo urban street clarence delgado recreation rajyavardhan glasses hooper outdoor tan footwear bag shourie rate dun rathore city gton protest american sign iris left shoe handbag leticia r. van de putte singh now parade metropolis road performance land great_american_boycott great neetu david text mona kapoor save banner accessories jesus boycott crowd ask
iso
100
metering mode
5
aperture
f/2.8
exposure bias
1
focal length
24mm
shutter speed
1/800s
camera make
Canon
camera model
lens model
overall
(37.43%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.45%)
failure
(-0.24%)
harmonious color
(0.56%)
immersiveness
(1.03%)
interaction
(1.00%)
interesting subject
(-12.83%)
intrusive object presence
(-12.48%)
lively color
(6.71%)
low light
(7.76%)
noise
(-2.44%)
pleasant camera tilt
(-12.60%)
pleasant composition
(-82.67%)
pleasant lighting
(-8.71%)
pleasant pattern
(4.81%)
pleasant perspective
(4.12%)
pleasant post processing
(2.81%)
pleasant reflection
(-0.36%)
pleasant symmetry
(0.46%)
sharply focused subject
(0.20%)
tastefully blurred
(-11.44%)
well chosen subject
(-1.61%)
well framed subject
(-63.72%)
well timed shot
(12.52%)
all
(-1.17%)
* 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.