Photos | Leaders Address the Crowd at Basketball Game Event
Masateru Kaiketsu, Hiroyuki Kaiō, Hayateumi Hidehito, and Yoshitomo Tani stand on stage in suits, addressing a crowd at Caesars Palace in Las Vegas, at a basketball game event.
BLIP-2 Description:
a crowd of people standing on a stage in front of a large screenChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
Location:
speech building masateru kaiketsu baton chair speaker footwear er basketball furniture outdoor empowering kaiō shoe venue hardware business audience logic yoshitomo electronics pe screen sport hiroyuki suit modern monitor busines stick sports lighting hayateumi hidehito game tani computer sumo crowd logi hopower
iso
100
metering mode
5
aperture
f/1.8
focal length
4mm
latitude
36.12
longitude
-115.17
shutter speed
1/47s
camera make
Apple
camera model
date
2019-12-04T21:09:19.382000-08:00
tzoffset
-28800
tzname
GMT-0800
overall
(33.08%)
curation
(50.00%)
highlight visibility
(80.69%)
behavioral
(70.47%)
failure
(-0.61%)
harmonious color
(1.85%)
immersiveness
(0.59%)
interaction
(1.00%)
interesting subject
(-11.41%)
intrusive object presence
(-11.45%)
lively color
(11.53%)
low light
(30.83%)
noise
(-6.76%)
pleasant camera tilt
(-5.83%)
pleasant composition
(-59.77%)
pleasant lighting
(-30.74%)
pleasant pattern
(18.38%)
pleasant perspective
(4.94%)
pleasant post processing
(-3.10%)
pleasant reflection
(0.01%)
pleasant symmetry
(1.25%)
sharply focused subject
(0.54%)
tastefully blurred
(-5.68%)
well chosen subject
(-10.46%)
well framed subject
(-42.63%)
well timed shot
(3.05%)
all
(-2.49%)
* 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.