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:
org 马 activities peter flag otadetr leisure beycad amigrant sirmon fot student rights immigran transportation hat american erla text alto socialismandliberation art answerla parade no full migrants istia rekognition_c banner sign car vehicle gran marcha workers esti adventure struggle ch mmigrants borders protest ал mistia crowd answe
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.