Photos | Patriotic Crowd
A sea of people waving American and Mexican flags in a show of national pride. Indra Sjafri, David Choquehuanca, and K. Rahman Khan are among the many faces in the crowd. Taken in 2006 during a protest or parade in a busy urban area.
BLIP-2 Description:
a large crowd of people holding american and mexican flagsChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
2336w x 3504h - (download 4k)
Usage
Dominant Color:
activities flag sia urban plant leisure footwear student mass liberty choquehuanca transportation k. rahman khan tree road libe text performance traffic shoe city art tad ints parade audience metropolis banner sign car vehicle justice light adventure david recreation indra sjafri stop sights protest crowd march symbol
Detected Text
iso
100
metering mode
5
aperture
f/1.2
focal length
85mm
shutter speed
1/500s
camera make
Canon
camera model
lens model
date
2006-04-10T17:53:51-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(45.26%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.38%)
failure
(-0.68%)
harmonious color
(0.96%)
immersiveness
(0.29%)
interaction
(1.00%)
interesting subject
(8.19%)
intrusive object presence
(-14.62%)
lively color
(24.60%)
low light
(13.96%)
noise
(-2.86%)
pleasant camera tilt
(-2.71%)
pleasant composition
(-55.42%)
pleasant lighting
(-0.69%)
pleasant pattern
(5.76%)
pleasant perspective
(7.44%)
pleasant post processing
(1.98%)
pleasant reflection
(3.04%)
pleasant symmetry
(0.37%)
sharply focused subject
(6.59%)
tastefully blurred
(41.80%)
well chosen subject
(-24.40%)
well framed subject
(-5.71%)
well timed shot
(20.59%)
all
(3.88%)
* 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.