Photos | Urban Crowd in Las Vegas
Mustapha Yatabaré and a group of 26 people walk down the sidewalk surrounded by skyscrapers, billboards, and a busy metropolis in Las Vegas.
BLIP-2 Description:
a group of people walking down a streetMetadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
travel ollywood city architecture land plant trip sign handbag mojave aria wus cityscape crowd hat vegas peer bus pedestrian pants states pari area blvd mustapha yatabaré car bel metropolis cloudy accessories walking vehicle palms shopping container southeast las vegas las county skyscraper backpack bag mall sky tree beer shoe clark jeans bally's billboards pro december fence sidewalk papi night south jacket blue max outdoor palm bracken paradise nv glasses winter urban shop road transportation path downtown building apple united advertisement footwear street luggage life iphone strip desert
iso
160
metering mode
5
aperture
f/2
focal length
6mm
latitude
36.11
longitude
-115.17
shutter speed
1/120s
camera make
Apple
camera model
lens model
overall
(49.88%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.82%)
failure
(-0.34%)
harmonious color
(6.91%)
immersiveness
(1.25%)
interaction
(2.00%)
interesting subject
(4.64%)
intrusive object presence
(-11.52%)
lively color
(-0.25%)
low light
(12.52%)
noise
(-1.34%)
pleasant camera tilt
(-4.68%)
pleasant composition
(-46.04%)
pleasant lighting
(1.04%)
pleasant pattern
(7.89%)
pleasant perspective
(13.00%)
pleasant post processing
(7.69%)
pleasant reflection
(2.74%)
pleasant symmetry
(1.03%)
sharply focused subject
(0.63%)
tastefully blurred
(-2.16%)
well chosen subject
(-25.61%)
well framed subject
(-30.47%)
well timed shot
(4.14%)
all
(3.28%)
* 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 with AI (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.