Photos | Group Observing Robot at Aria Resort & Casino
Nine people, including two women and five men, gather around a table to observe a robot at the Aria Resort & Casino in Las Vegas. Clothing, footwear, and accessories are a prominent feature in the group's attire.
BLIP-2 Description:
a group of people standing around a table with a robotChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
architecture bracelet summer crystals nv building south county footwear desert travel microphone exi states furniture aria resort & casino the strip shoe june manufacturing iphone vegas paradise glove hardware machine world desk bracken fema glasses robot camera soccer ball tabletop indoors life factory united electronics max palms jewelry screen sport table accessories monitor lab jurassic trip clark las bosch video mojave shops device workshop southeast las vegas ivented football xs sos computer crowd apple jetbot mented electrical
iso
125
metering mode
5
aperture
f/1.8
focal length
4mm
latitude
36.11
longitude
-115.18
shutter speed
1/60s
camera make
Apple
camera model
lens model
date
2019-06-05T16:31:32.868000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(31.84%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.68%)
failure
(-0.20%)
harmonious color
(2.60%)
immersiveness
(0.37%)
interaction
(1.00%)
interesting subject
(-47.56%)
intrusive object presence
(-6.08%)
lively color
(7.90%)
low light
(0.39%)
noise
(-0.46%)
pleasant camera tilt
(-10.24%)
pleasant composition
(-65.77%)
pleasant lighting
(-5.76%)
pleasant pattern
(11.65%)
pleasant perspective
(-3.12%)
pleasant post processing
(2.66%)
pleasant reflection
(0.52%)
pleasant symmetry
(0.46%)
sharply focused subject
(0.27%)
tastefully blurred
(-2.72%)
well chosen subject
(-17.52%)
well framed subject
(-47.17%)
well timed shot
(-6.81%)
all
(-2.53%)
* 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.