Photos | The Great American Boycott: A Protest on the Streets

A crowd of 64 people, including Jacob Soboroff, Fred Hammond, Leticia R. Van de Putte, Juan Román Riquelme, and Věra Bílá, march down the city streets with colorful signs and banners during the 2007 Great American Boycott.
BLIP-2 Description:
a large group of people walking down a street with signsMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
fred flag urban jesus great_american_boycott vizacio footwear věra bílá raciones american riquelme hat hammond jacob soboroff leticia r. van de putte road outdoor text juan performance shoe bag city land street art redadas now parade román glasses girls yod metropolis banner sign boycott accessories recreation handbag save protest crowd great
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
date
2007-05-01T09:45:09-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(33.15%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.40%)
failure
(-0.39%)
harmonious color
(-2.02%)
immersiveness
(0.44%)
interaction
(1.00%)
interesting subject
(-17.46%)
intrusive object presence
(-22.53%)
lively color
(6.26%)
low light
(10.62%)
noise
(-3.30%)
pleasant camera tilt
(-10.58%)
pleasant composition
(-82.37%)
pleasant lighting
(-17.40%)
pleasant pattern
(9.06%)
pleasant perspective
(-3.33%)
pleasant post processing
(-0.30%)
pleasant reflection
(1.80%)
pleasant symmetry
(0.56%)
sharply focused subject
(0.20%)
tastefully blurred
(-8.01%)
well chosen subject
(-14.92%)
well framed subject
(-56.05%)
well timed shot
(6.40%)
all
(-3.99%)
* 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.