Photos | Group Shot in Front of the Billiard Table

Tunku Ismail Idris, Cinthya Carmona, Mr. Fuji, Nicola Zagame, Alvaro V, Francisco C, Kevin H, Todd, Dave B, and Andy N posed for a picture in 2016 at the billiard room in Los Angeles.
BLIP-2 Description:
a group of people posing for a photo in front of a pool tableMetadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Location:
architecture pen bracelet cafeteria shawn f carmona necklace classroom building mr. fuji chair mobile footwear cinthya alvaro v wristwatch hat andy restaurant furniture dave b tennis tunku ismail idris shoe francisco groupshot vincent glasses indoors ball tabletop school district electronics jewelry sport nicola table room accessories couch lighting billiard room phone crowd zagame pool
iso
50
metering mode
5
aperture
f/1.8
focal length
4mm
latitude
34.05
longitude
-118.26
shutter speed
1/15s
camera make
Apple
camera model
lens model
date
2016-12-14T18:07:52.969000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(34.96%)
curation
(95.36%)
highlight visibility
(78.78%)
behavioral
(70.52%)
failure
(-0.17%)
harmonious color
(1.25%)
immersiveness
(0.10%)
interaction
(1.00%)
interesting subject
(15.83%)
intrusive object presence
(-16.33%)
lively color
(3.05%)
low light
(1.98%)
noise
(-0.54%)
pleasant camera tilt
(-5.19%)
pleasant composition
(-60.01%)
pleasant lighting
(-20.97%)
pleasant pattern
(6.27%)
pleasant perspective
(6.53%)
pleasant post processing
(-0.35%)
pleasant reflection
(0.68%)
pleasant symmetry
(0.44%)
sharply focused subject
(0.37%)
tastefully blurred
(-23.88%)
well chosen subject
(-26.54%)
well framed subject
(-16.96%)
well timed shot
(7.70%)
all
(-2.26%)
* 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.