Photos | Patriotic Parade
A large crowd waves American flags and holds signs during a patriotic parade in the city, including notable attendees Chen Xiexia, Lorenzo de Monteclaro, and Fernando Chalana.
BLIP-2 Description:
a large group of people holding american flags and signsChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
fairly boy ho flag urban 드 child eos fairi rights way geve hat transportation chen xiexia states road one emigrants text performance city sakbone aministia art 羽 il untied treat want parade ma amnistia glasses migrants fernando chalana metropolis united banner sign vehicle accessories general recreation spring canon lorenzo monteclaro protest immi de crowd symbol
Detected Text
flash fired
true
iso
100
metering mode
5
aperture
f/1.2
exposure bias
-2
focal length
85mm
shutter speed
1/8000s
camera make
Canon
camera model
lens model
date
2006-05-01T11:19:03-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(43.48%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.33%)
failure
(-0.32%)
harmonious color
(0.01%)
immersiveness
(0.17%)
interaction
(1.00%)
interesting subject
(2.37%)
intrusive object presence
(-6.08%)
lively color
(4.91%)
low light
(3.00%)
noise
(-2.17%)
pleasant camera tilt
(-5.82%)
pleasant composition
(-63.57%)
pleasant lighting
(-9.70%)
pleasant pattern
(15.97%)
pleasant perspective
(13.61%)
pleasant post processing
(-2.07%)
pleasant reflection
(-3.37%)
pleasant symmetry
(1.34%)
sharply focused subject
(2.49%)
tastefully blurred
(21.39%)
well chosen subject
(-1.06%)
well framed subject
(-29.66%)
well timed shot
(15.67%)
all
(1.40%)
* 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.