Photos | A Billiards Party to Remember
Alice Naylor-Leyland, Masamune Wada, Andy N, Alvaro V, Kevin H, Dave B, Todd, Jeffrey W, Francisco C, and a lively crowd gather around the pool table for a fun-filled evening in Los Angeles.
BLIP-2 Description:
a group of people posing for a photo in front of a pool tableChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
Location:
architecture pen tie shawn f formal necklace classroom building masamune wada chair footwear alvaro v wristwatch hat crowd andy leyland furniture dave b tennis design bag shoe francisco groupshot art glasses indoors ball school district interior wear rekognition_c naylor alice jewelry sport table accessories room couch billiard room cup handbag 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
2016-12-14T18:07:30.850000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(35.08%)
curation
(94.39%)
highlight visibility
(78.78%)
behavioral
(70.62%)
failure
(-0.12%)
harmonious color
(2.46%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(14.84%)
intrusive object presence
(-26.42%)
lively color
(-1.35%)
low light
(1.66%)
noise
(-0.76%)
pleasant camera tilt
(-5.72%)
pleasant composition
(-68.36%)
pleasant lighting
(-28.64%)
pleasant pattern
(4.88%)
pleasant perspective
(4.99%)
pleasant post processing
(2.56%)
pleasant reflection
(0.84%)
pleasant symmetry
(0.54%)
sharply focused subject
(0.39%)
tastefully blurred
(-11.15%)
well chosen subject
(-24.65%)
well framed subject
(-15.05%)
well timed shot
(9.48%)
all
(-3.35%)
* 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.