Photos | Patriotic Crowd Marches in Metropolis

Aaron Guiel and Rumeli Dhar join a massive crowd of over 50 people holding American flags and signs during a patriotic parade in the urban jungle of Metropolis. The towering office buildings and cloudy sky provide a dramatic backdrop for the lively performance.
BLIP-2 Description:
a large crowd of people holding american flags and signsMetadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
architecture traffic flag bushes urban plant north building main aaron guiel footwear pedestrian hat tree road outdoor text performance sky join movement revive city land cloudy street art bag shoe future parade youth glasses metropolis banner sign light accessories dhar office recreation handbag st palm protest crowd rumeli larouche
Detected Text
iso
100
metering mode
5
aperture
f/4
focal length
17mm
shutter speed
1/13s
camera make
Canon
camera model
lens model
date
2006-04-10T18:19:29-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(31.62%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.52%)
failure
(-1.05%)
harmonious color
(-3.34%)
immersiveness
(0.68%)
interaction
(1.00%)
interesting subject
(-47.02%)
intrusive object presence
(-10.33%)
lively color
(-8.72%)
low light
(69.68%)
noise
(-7.06%)
pleasant camera tilt
(-10.77%)
pleasant composition
(-88.53%)
pleasant lighting
(-37.62%)
pleasant pattern
(11.82%)
pleasant perspective
(-1.73%)
pleasant post processing
(0.96%)
pleasant reflection
(-0.98%)
pleasant symmetry
(0.34%)
sharply focused subject
(0.32%)
tastefully blurred
(-8.72%)
well chosen subject
(5.21%)
well framed subject
(-73.05%)
well timed shot
(6.19%)
all
(-6.41%)
* 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.