Photos | Great American Boycott March
Over 70 people, including Nemecia Achacollo, Christin Priebst, and Dilek Öcalan, took to the streets with American flags and signs for the 2007 Great American Boycott in a major metropolis. The crowd marched through the city, calling for change and showing their solidarity with the cause.
BLIP-2 Description:
a large group of people holding american flags and signsMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
los accessories city urban land dilek öcalan shoe road handbag jeans angeles force yndfo angelet crowd priebst performance hat protest flag raciones great_american_boycott girl recreation engraving child boy pants christin boycott advertisement street alto parade footwear art great backpack bag outdoor text redadas banner nemecia achacollo american metropolis bancomer
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
(30.91%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.55%)
failure
(-0.34%)
harmonious color
(-2.46%)
immersiveness
(0.51%)
interaction
(1.00%)
interesting subject
(-63.72%)
intrusive object presence
(-9.57%)
lively color
(0.75%)
low light
(7.86%)
noise
(-1.54%)
pleasant camera tilt
(-9.72%)
pleasant composition
(-89.55%)
pleasant lighting
(-29.69%)
pleasant pattern
(5.00%)
pleasant perspective
(-4.21%)
pleasant post processing
(3.10%)
pleasant reflection
(0.95%)
pleasant symmetry
(0.34%)
sharply focused subject
(0.17%)
tastefully blurred
(-3.57%)
well chosen subject
(10.33%)
well framed subject
(-71.48%)
well timed shot
(1.86%)
all
(-5.58%)
* 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 with AI (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.