Photos | Omar Souleyman Leads 50-Person Parade in Urban Metropolis
A crowd of people follows Omar Souleyman as they march down the busy street of a bustling city, showcasing the architecture and energy of the urban landscape.
BLIP-2 Description:
a large group of people walking down a streetChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
importao path tel ортом omar city urban recreation jeans souleyman ante omar souleyman area sidewalk window elefante outdoor andrew performance street road pants dr balour oro building abe's garantizado architecture crowd footwear metro volanon parade metropolis imporis pedestrian walking marching ela lease land flag colas neighborhood shoe
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
2006-05-01T11:27:17-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(33.18%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.48%)
failure
(-0.32%)
harmonious color
(-1.48%)
immersiveness
(1.00%)
interaction
(1.00%)
interesting subject
(-44.07%)
intrusive object presence
(-9.96%)
lively color
(-6.74%)
low light
(4.88%)
noise
(-1.61%)
pleasant camera tilt
(-11.96%)
pleasant composition
(-85.40%)
pleasant lighting
(-35.40%)
pleasant pattern
(9.52%)
pleasant perspective
(0.57%)
pleasant post processing
(2.91%)
pleasant reflection
(1.01%)
pleasant symmetry
(0.76%)
sharply focused subject
(0.12%)
tastefully blurred
(-14.89%)
well chosen subject
(8.35%)
well framed subject
(-69.19%)
well timed shot
(11.55%)
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.