Photos | Ringing in Success

Iwakiyama Ryūta, Hokutoumi Nobuyoshi, Katayama Shinji, Hokutoumi Nobuyoshi, Darryl D'Souza, and Kartikeya Sharma celebrate on stage with a victory ring at Caesars Palace in Las Vegas.
BLIP-2 Description:
a group of people standing on a stage with a ringMetadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
Location:
architecture speech activities formal urban leisure building kartikeya chair speaker footwear hokutoumi nobuyoshi lamp ogic hat basketball graduation furniture outdoor sharma katayama shinji shoe bag iwakiyama ryūta venue sock camera business glasses indoors audience hall logic wear darryl d'souza electronics sumo'logic theater sport college suit accessories handbag sports lighting game 詒 hosiery sumo crowd dancing
iso
250
metering mode
5
aperture
f/1.8
focal length
4mm
latitude
36.12
longitude
-115.17
shutter speed
1/60s
camera make
Apple
camera model
date
2019-12-04T21:09:28.820000-08:00
tzoffset
-28800
tzname
GMT-0800
overall
(36.30%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.51%)
failure
(-0.61%)
harmonious color
(1.75%)
immersiveness
(0.17%)
interaction
(1.00%)
interesting subject
(-1.68%)
intrusive object presence
(-15.23%)
lively color
(2.58%)
low light
(65.43%)
noise
(-8.11%)
pleasant camera tilt
(-8.24%)
pleasant composition
(-75.98%)
pleasant lighting
(-39.33%)
pleasant pattern
(9.52%)
pleasant perspective
(0.58%)
pleasant post processing
(3.94%)
pleasant reflection
(-0.69%)
pleasant symmetry
(0.56%)
sharply focused subject
(0.20%)
tastefully blurred
(-13.44%)
well chosen subject
(-12.35%)
well framed subject
(-40.65%)
well timed shot
(11.70%)
all
(-4.12%)
* 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.