Photos | Patriotic Display
A sea of people proudly holding Mexican and American flags during a parade in 2006. Among the crowd are Valerie Vaz, Kemio, and Rajyavardhan Singh Rathore, showcasing their love for their countries.
BLIP-2 Description:
a large group of people holding mexican and american flagsChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
protest call urban city wait ull march recreation regim child answerla immigrants kemio stop world accessories bag sign belt rathore jewelry performance valerie vaz road bush glasses full crowd facil mmigrants parade rights text boy metropolis org tion handbag odrive arnold can't hat art flag singh rajyavardhan amnistia necklace symbol
Detected Text
iso
400
metering mode
5
aperture
f/14
focal length
17mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2006-03-25T10:53:24-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(39.48%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.32%)
failure
(-0.15%)
harmonious color
(-1.23%)
immersiveness
(0.39%)
interaction
(1.00%)
interesting subject
(-19.42%)
intrusive object presence
(-6.08%)
lively color
(9.82%)
low light
(4.74%)
noise
(-1.98%)
pleasant camera tilt
(-9.54%)
pleasant composition
(-77.69%)
pleasant lighting
(-17.03%)
pleasant pattern
(10.40%)
pleasant perspective
(2.64%)
pleasant post processing
(1.88%)
pleasant reflection
(-1.37%)
pleasant symmetry
(0.66%)
sharply focused subject
(0.27%)
tastefully blurred
(-3.49%)
well chosen subject
(4.39%)
well framed subject
(-63.96%)
well timed shot
(15.82%)
all
(-0.92%)
* 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.