Photos | United under Flags

A large crowd of 46 people holding American and Mexican flags during a student protest in 2006, displaying their unity and support for both nations.
BLIP-2 Description:
a large group of people holding american and mexican flagsMetadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
kim soo-nyung org est activities mnisti gong flag immigrants leisure rants student rights transportation hat regime reci text performance hts alto socialismandliberation art strue il nigras orkers ful parade no glasses full banner sign car vehicle boi gran marcha ri workers accessories adventure zhichao recreation bush answi narch nigrants mmigrants struggle ive stop borders se protest immig immi mistia crowd ish
Detected Text
iso
100
metering mode
5
aperture
f/1.2
focal length
85mm
shutter speed
1/3200s
camera make
Canon
camera model
lens model
date
2006-04-15T11:02:01-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(50.15%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.38%)
failure
(-0.22%)
harmonious color
(5.93%)
immersiveness
(0.20%)
interaction
(1.00%)
interesting subject
(2.09%)
intrusive object presence
(-8.06%)
lively color
(24.05%)
low light
(28.47%)
noise
(-1.64%)
pleasant camera tilt
(-2.84%)
pleasant composition
(-64.65%)
pleasant lighting
(8.64%)
pleasant pattern
(18.53%)
pleasant perspective
(9.19%)
pleasant post processing
(6.87%)
pleasant reflection
(0.16%)
pleasant symmetry
(1.44%)
sharply focused subject
(4.35%)
tastefully blurred
(23.50%)
well chosen subject
(-7.11%)
well framed subject
(-27.32%)
well timed shot
(17.44%)
all
(5.67%)
* 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.