Photos | Center Stage Madness
Tamanoumi Masahiro and the lively crowd take center stage for an unforgettable night of entertainment at Caesars Palace in Las Vegas.
BLIP-2 Description:
a group of people playing on a large stageChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Location:
intelligenpe speech urban building footwear stage see transportation hat basketball nuous outdoor studio contact tamanoumi masahiro shoe glove venue hardware camera coat business glasses interview audience indoors logic interior electronics car vehicle screen sport conversation suit auditorium ently accessories monitor room recreation diffes sports intelligence lighting game part tv back cup computer sumo continuous crowd
Detected Text
iso
200
metering mode
5
aperture
f/2.4
focal length
2mm
latitude
36.12
longitude
-115.17
shutter speed
1/120s
camera make
Apple
camera model
date
2019-12-04T22:44:30.294000-08:00
tzoffset
-28800
tzname
GMT-0800
overall
(31.42%)
curation
(50.00%)
highlight visibility
(80.69%)
behavioral
(70.49%)
failure
(-0.59%)
harmonious color
(3.22%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(-34.30%)
intrusive object presence
(-17.94%)
lively color
(-8.61%)
low light
(89.60%)
noise
(-4.15%)
pleasant camera tilt
(-5.33%)
pleasant composition
(-81.45%)
pleasant lighting
(-43.87%)
pleasant pattern
(4.74%)
pleasant perspective
(0.95%)
pleasant post processing
(2.82%)
pleasant reflection
(2.08%)
pleasant symmetry
(0.32%)
sharply focused subject
(0.17%)
tastefully blurred
(-15.30%)
well chosen subject
(-9.01%)
well framed subject
(-37.79%)
well timed shot
(16.32%)
all
(-5.33%)
* 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.