Photos | American Flags in Metropolis Parade
A crowd of people, including Josh Naylor and Kiran Manisha Mohanty, march down the city street with American flags in hand during the Metropolis Parade.
BLIP-2 Description:
a group of people marching 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 boy flag urban building window mobile footwear tipp pedestrian wristwatch al hat sidewalk road outdoor text manisha performance traffic city shoe bag josh naylor land street kiran mohanty blue dave soro parade glasses teen metropolis gratis ndru path electronics banner backpack jewelry light accessories recreation handbag levi's phone protest free advertisement armsmes de crowd borde
flash fired
true
iso
100
metering mode
5
aperture
f/4
focal length
17mm
shutter speed
1/640s
camera make
Canon
camera model
lens model
date
2006-05-01T11:24:12-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(34.50%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.54%)
failure
(-0.15%)
harmonious color
(-1.20%)
immersiveness
(0.51%)
interaction
(1.00%)
interesting subject
(-40.21%)
intrusive object presence
(-6.13%)
lively color
(-5.19%)
low light
(5.62%)
noise
(-1.10%)
pleasant camera tilt
(-12.57%)
pleasant composition
(-88.18%)
pleasant lighting
(-38.28%)
pleasant pattern
(7.10%)
pleasant perspective
(4.30%)
pleasant post processing
(1.90%)
pleasant reflection
(0.69%)
pleasant symmetry
(0.66%)
sharply focused subject
(0.10%)
tastefully blurred
(-3.04%)
well chosen subject
(15.01%)
well framed subject
(-66.02%)
well timed shot
(10.75%)
all
(-4.62%)
* 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.