Photos | American Patriotism on Display
A crowd of 25 people, including Todd Terry, proudly hold American flags and signs during the Black Minutemen parade in 2007, showcasing their love for their land and country.
BLIP-2 Description:
a group of people holding american flags and signsChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
men jeans pants flag racis urban cavel program footwear stei guest pedestrian luggage speak theatres hat road outdoor la officer performance container ice litor's shoe bag land gun street art city minutemen black parade no udio glasses shorts metropolis helmet sign raza todd terry marching mericans accessories video recreation handbag cen med black_minutemen protest worker jewel crowd weapon
Detected Text
iso
100
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/1250s
camera make
Canon
camera model
lens model
date
2007-03-25T12:28:19-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(30.54%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.58%)
failure
(-0.32%)
harmonious color
(-2.84%)
immersiveness
(1.32%)
interaction
(1.00%)
interesting subject
(-59.62%)
intrusive object presence
(-8.13%)
lively color
(4.33%)
low light
(2.61%)
noise
(-0.93%)
pleasant camera tilt
(-11.77%)
pleasant composition
(-86.72%)
pleasant lighting
(-31.15%)
pleasant pattern
(9.64%)
pleasant perspective
(-8.19%)
pleasant post processing
(-0.45%)
pleasant reflection
(-1.92%)
pleasant symmetry
(0.39%)
sharply focused subject
(0.12%)
tastefully blurred
(-7.17%)
well chosen subject
(7.37%)
well framed subject
(-70.61%)
well timed shot
(6.56%)
all
(-5.63%)
* 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.