Photos | 2016 Group Shot in front of the Billiard Table

Nicolle Wallace, Iwakiyama Ryūta, Robin Schulz, Kevin H, Dave B, Todd, Alvaro V, Francisco C, and Andy N pose for a group photo in Los Angeles, California in December 2016.
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
Dominant Color:
Location:
architecture pen necklace classroom building chair footwear alvaro v wristwatch hat andy living furniture dave b tennis design shoe bag francisco groupshot art iwakiyama ryūta glove glasses indoors ball school district interior schulz rekognition_c robin jewelry sport table accessories room eight recreation handbag couch billiard room wallace vincent s nicolle crowd 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
2016-12-14T18:07:32.735000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(36.84%)
curation
(94.40%)
highlight visibility
(2.45%)
behavioral
(70.58%)
failure
(-0.20%)
harmonious color
(0.80%)
immersiveness
(0.17%)
interaction
(2.00%)
interesting subject
(26.73%)
intrusive object presence
(-14.72%)
lively color
(7.64%)
low light
(3.25%)
noise
(-1.54%)
pleasant camera tilt
(-4.04%)
pleasant composition
(-45.34%)
pleasant lighting
(-25.85%)
pleasant pattern
(9.69%)
pleasant perspective
(6.25%)
pleasant post processing
(0.27%)
pleasant reflection
(1.41%)
pleasant symmetry
(0.59%)
sharply focused subject
(0.51%)
tastefully blurred
(-9.00%)
well chosen subject
(-41.87%)
well framed subject
(-6.26%)
well timed shot
(5.17%)
all
(-1.82%)
* 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.