Photos | Pool Table Pals
Nicolle Wallace, Iwakiyama Ryūta, and their friends strike a pose in front of the pool table during their 2016 get-together in Los Angeles.
BLIP-2 Description:
a group of people posing for a photo in front of a pool tableMetadata
Capture date:
Original Dimensions:
4031w x 3024h - (download 4k)
Usage
Location:
nicolle wallace accessories winter architecture factory table shoe alvaro iwakiyama chelsey tregear classroom school wristwatch handbag california football dave b ca ball manufacturing district pen todd andy nguyen groupshot couch andy apple ml december necklace grand crowd sport furniture indoors continental soccer downtown shawn f chair room team francisco robin building apple valdivieso united states los angeles footwear contreras ave bag plus workshop jewelry iphone ryūta alvaro v schulz glasses
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
overall
(39.58%)
curation
(94.41%)
highlight visibility
(2.45%)
behavioral
(70.51%)
failure
(-0.24%)
harmonious color
(-1.10%)
immersiveness
(0.17%)
interaction
(1.00%)
interesting subject
(35.08%)
intrusive object presence
(-15.50%)
lively color
(10.23%)
low light
(1.90%)
noise
(-2.47%)
pleasant camera tilt
(-3.70%)
pleasant composition
(-28.27%)
pleasant lighting
(-17.81%)
pleasant pattern
(15.31%)
pleasant perspective
(4.13%)
pleasant post processing
(0.06%)
pleasant reflection
(0.99%)
pleasant symmetry
(0.81%)
sharply focused subject
(0.73%)
tastefully blurred
(-5.75%)
well chosen subject
(-42.97%)
well framed subject
(6.93%)
well timed shot
(4.51%)
all
(0.24%)
* 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 with AI (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.