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:
pc box factory rekognition_c united flooring lamp july glasses billiard room continental footwear bag window jewelry district wilshire blvd school states floor tennis manufacturing jewelry hardware li table building iphone electronics shoe handbag desk workshop classroom room los downtown ball screen ca architecture hat sport yu summer angeles furniture district door accessories laptop indoors computer monitor apple pool california
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
overall
(28.27%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.39%)
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.