Photos | Poolside Play

Li Yu and a group of friends gather around the pool table for a game of billiards in Los Angeles. The room is filled with furniture, accessories, and even a few laptops as the players take their shots.
BLIP-2 Description:
a group of people standing around a pool tableMetadata
Capture date:
Original Dimensions:
3264w x 2448h - (download 4k)
Usage
Dominant Color:
Location:
architecture continental summer door ca classroom building window footwear lamp hat states furniture flooring tennis manufacturing bag shoe iphone li jewelry district hardware desk glasses indoors factory ball pc school angeles district july united rekognition_c electronics los jewelry screen sport table accessories room monitor yu downtown wilshire blvd laptop billiard room workshop california computer floor handbag apple box pool
iso
50
metering mode
5
aperture
f/2.2
focal length
4mm
latitude
34.05
longitude
-118.26
shutter speed
1/30s
camera make
Apple
camera model
lens model
date
2015-07-16T12:25:41.741000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(28.27%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.45%)
failure
(-0.61%)
harmonious color
(-3.63%)
immersiveness
(1.46%)
interaction
(1.00%)
interesting subject
(-51.90%)
intrusive object presence
(-7.35%)
lively color
(-28.13%)
low light
(44.34%)
noise
(-2.88%)
pleasant camera tilt
(-4.83%)
pleasant composition
(-66.65%)
pleasant lighting
(-52.88%)
pleasant pattern
(6.91%)
pleasant perspective
(1.22%)
pleasant post processing
(-5.34%)
pleasant reflection
(-1.49%)
pleasant symmetry
(1.15%)
sharply focused subject
(0.22%)
tastefully blurred
(-15.72%)
well chosen subject
(-8.48%)
well framed subject
(-50.05%)
well timed shot
(1.90%)
all
(-8.68%)
* 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.