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:
advertisement urban december paradise glasses trip jacket billboards handbag desert blvd mustapha yatabaré bus accessories nv papi backpack palm bel path mojave sky sidewalk building cloudy plant downtown metropolis land united night jeans south transportation strip mall states pedestrian container bracken car aria las shop iphone sign shoe palms clark county pro wus architecture blue bally's shopping walking luggage crowd peer street winter outdoor footwear bag tree fence vegas city skyscraper max pants area cityscape road ollywood vehicle life hat beer southeast las vegas travel apple pari
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 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.