Photos | Group Shot in front of the Pool Table

Nicolle Wallace, Mr. Fuji, Lorenzo Ostuni, Chelsey Tregear, Jeffrey W, Andy N, Francisco C, Kevin H, Todd, Dave B, Alvaro V, and others pose for a photo 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
Dominant Color:
Location:
architecture pen fuji necklace interior design classroom building chair footwear tregear lorenzo ostuni alvaro v wristwatch hat mr crowd andy living furniture dave b tennis manufacturing shoe bag francisco groupshot desk glasses indoors factory ball tabletop school district chelsey jewelry sport table accessories room couch billiard room workshop cup handbag nicolle wallace 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
2016-12-14T18:07:35.579000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(41.06%)
curation
(93.45%)
highlight visibility
(2.45%)
behavioral
(70.56%)
failure
(-0.17%)
harmonious color
(0.23%)
immersiveness
(0.17%)
interaction
(4.00%)
interesting subject
(50.68%)
intrusive object presence
(-16.72%)
lively color
(0.71%)
low light
(3.59%)
noise
(-1.49%)
pleasant camera tilt
(-4.90%)
pleasant composition
(-38.53%)
pleasant lighting
(-18.97%)
pleasant pattern
(10.96%)
pleasant perspective
(6.25%)
pleasant post processing
(-0.28%)
pleasant reflection
(1.72%)
pleasant symmetry
(0.83%)
sharply focused subject
(0.59%)
tastefully blurred
(-7.26%)
well chosen subject
(-33.47%)
well framed subject
(12.84%)
well timed shot
(17.21%)
all
(0.60%)
* 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.