Photos | American and Mexican Flags Waved Proudly
A group of 42 people, including Peter Sirmon, hold up American and Mexican flags during a student protest in 2006. The crowd marched with signs and banners through the streets in solidarity.
BLIP-2 Description:
a large group of people holding american and mexican flagsChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
beycad 马 mistia otadetr borders american protest activities ch student fot vehicle car sirmon answe answerla adventure immigran transportation workers migrants sign esti erla gran full crowd peter mmigrants banner parade amigrant rights text no org alto rekognition_c leisure ал hat art flag marcha socialismandliberation istia struggle
Detected Text
iso
100
metering mode
5
aperture
f/1.2
focal length
85mm
shutter speed
1/4000s
camera make
Canon
camera model
lens model
date
2006-04-15T11:01:31-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(43.51%)
curation
(50.00%)
highlight visibility
(2.45%)
behavioral
(70.37%)
failure
(-0.59%)
harmonious color
(-0.82%)
immersiveness
(0.49%)
interaction
(1.00%)
interesting subject
(-11.82%)
intrusive object presence
(-13.94%)
lively color
(22.99%)
low light
(3.32%)
noise
(-2.29%)
pleasant camera tilt
(-1.90%)
pleasant composition
(-69.48%)
pleasant lighting
(-8.89%)
pleasant pattern
(12.60%)
pleasant perspective
(9.30%)
pleasant post processing
(2.89%)
pleasant reflection
(0.97%)
pleasant symmetry
(1.20%)
sharply focused subject
(2.42%)
tastefully blurred
(5.99%)
well chosen subject
(-1.10%)
well framed subject
(-47.66%)
well timed shot
(17.47%)
all
(2.38%)
* 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.