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:
mented nv paradise max vegas bracken ball footwear table indoors bracelet computer manufacturing world life summer electrical jetbot ivented united states video the strip jurassic crystals clark glasses travel glove sos xs desert device fema las exi sport football furniture june building camera architecture trip palms jewelry south county desk lab iphone factory workshop crowd hardware bosch shops mojave apple aria resort & casino microphone screen electronics machine southeast las vegas soccer tabletop robot monitor shoe accessories
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
(70.67%)
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.