Photos | Marching for America
A crowd of 70 people, including 3 children and 5 American flags, proudly display their patriotism while parading down a city street during the Great American Boycott in 2007. Maria Schneider joins the protest wearing a banner as a hat and carrying a handbag.
BLIP-2 Description:
a large group of people walking down a street with american flagsMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
dabys accessories city urban davys land shoe fro road sign maria schneider handbag space somos ronics canon metropolis retail now crowd lease performance hat protest flag spring perfumes yhiolsae great_american_boycott traffic girl recreation child boy ilegales boycott la legalization street footwear parade 雞 art luc eos full great call intels outdoor bag light banner american conics
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
overall
(26.54%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.62%)
failure
(-0.44%)
harmonious color
(-4.17%)
immersiveness
(0.32%)
interaction
(1.00%)
interesting subject
(-43.95%)
intrusive object presence
(-9.45%)
lively color
(-5.24%)
low light
(29.37%)
noise
(-4.08%)
pleasant camera tilt
(-9.70%)
pleasant composition
(-86.62%)
pleasant lighting
(-35.23%)
pleasant pattern
(4.54%)
pleasant perspective
(-6.43%)
pleasant post processing
(1.30%)
pleasant reflection
(1.16%)
pleasant symmetry
(0.32%)
sharply focused subject
(0.15%)
tastefully blurred
(-24.08%)
well chosen subject
(-10.72%)
well framed subject
(-67.48%)
well timed shot
(-0.55%)
all
(-7.94%)
* 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.