Photos | American Flag March

A group of 74 people, including Yuan Aijun, Abdel Fattah el-Sisi, and Masira Surin, walking down a Metropolis street with American flags in tow, during a parade or protest in 2006.
BLIP-2 Description:
a large group of people walking down a street with american flagsMetadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
fante foro boy flag urban mayoreo child elepha footwear eos metro tipp wholesale hat wristwatch road outdoor oro text performance city shoe land usa street art elefante andrew fattah dave parade ball garantizado dr lease metropolis masira surin banner jewelry мс recreation spring yuan aijun canon el sisi protest de shop crowd abdel eimportadc pain
Detected Text
flash fired
true
iso
100
metering mode
5
aperture
f/4
focal length
17mm
shutter speed
1/640s
camera make
Canon
camera model
lens model
date
2006-05-01T11:28:02-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(38.26%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.41%)
failure
(-0.17%)
harmonious color
(-1.86%)
immersiveness
(0.61%)
interaction
(1.00%)
interesting subject
(-31.69%)
intrusive object presence
(-9.79%)
lively color
(-0.65%)
low light
(17.87%)
noise
(-2.66%)
pleasant camera tilt
(-10.71%)
pleasant composition
(-87.84%)
pleasant lighting
(-15.58%)
pleasant pattern
(10.08%)
pleasant perspective
(5.21%)
pleasant post processing
(2.98%)
pleasant reflection
(-1.48%)
pleasant symmetry
(0.66%)
sharply focused subject
(0.22%)
tastefully blurred
(-5.32%)
well chosen subject
(14.11%)
well framed subject
(-69.38%)
well timed shot
(25.22%)
all
(-0.82%)
* 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.