Photos | Patriotic Parade
Rimpa Siva joins a crowd of 62 people walking down a busy street, proudly waving American flags on a sunny day in the city.
BLIP-2 Description:
a large group of people walking down a street with american flagsChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
architecture jeans pants flag tra urban lamand building mayoreo footwear eos ir metro wholesale leasecante hat american baliour rimpa siva road outdoor adidase oro tel gold ela performance traffic shoe city pawn land andrew street art elefante road sign parade robi glasses garantizado dr metropolis helmet sign jewelry light accessories recreation spring importado canon colleg ansfa protest optometrist de shop crowd armsme symbol
Detected Text
flash fired
true
iso
100
metering mode
5
aperture
f/4
focal length
17mm
shutter speed
1/800s
camera make
Canon
camera model
lens model
date
2006-05-01T11:27:47-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(38.72%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.56%)
failure
(-0.15%)
harmonious color
(-1.63%)
immersiveness
(0.32%)
interaction
(1.00%)
interesting subject
(9.02%)
intrusive object presence
(-14.04%)
lively color
(-2.59%)
low light
(14.77%)
noise
(-2.25%)
pleasant camera tilt
(-10.35%)
pleasant composition
(-83.50%)
pleasant lighting
(-26.27%)
pleasant pattern
(9.35%)
pleasant perspective
(9.55%)
pleasant post processing
(3.38%)
pleasant reflection
(1.07%)
pleasant symmetry
(0.81%)
sharply focused subject
(0.15%)
tastefully blurred
(-11.82%)
well chosen subject
(-7.82%)
well framed subject
(-53.76%)
well timed shot
(32.62%)
all
(-1.14%)
* 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.