Photos | Group Shot in Front of the Billiard Table
Tunku Ismail Idris, Cinthya Carmona, Mr. Fuji, Nicola Zagame, Alvaro V, Francisco C, Kevin H, Todd, Dave B, and Andy N posed for a picture in 2016 at the billiard room 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
Location:
couch phone zagame bracelet glasses restaurant billiard room mobile vincent footwear pen school necklace cafeteria tennis chair jewelry table building alvaro v lighting electronics shoe groupshot cinthya nicola classroom room dave b shawn f andy ball wristwatch mr. fuji tabletop architecture hat sport francisco furniture district accessories tunku ismail idris pool indoors carmona crowd
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
(34.96%)
curation
(95.36%)
highlight visibility
(78.78%)
behavioral
(70.51%)
failure
(-0.17%)
harmonious color
(1.25%)
immersiveness
(0.10%)
interaction
(1.00%)
interesting subject
(15.83%)
intrusive object presence
(-16.33%)
lively color
(3.05%)
low light
(1.98%)
noise
(-0.54%)
pleasant camera tilt
(-5.19%)
pleasant composition
(-60.01%)
pleasant lighting
(-20.97%)
pleasant pattern
(6.27%)
pleasant perspective
(6.53%)
pleasant post processing
(-0.35%)
pleasant reflection
(0.68%)
pleasant symmetry
(0.44%)
sharply focused subject
(0.37%)
tastefully blurred
(-23.88%)
well chosen subject
(-26.54%)
well framed subject
(-16.96%)
well timed shot
(7.70%)
all
(-2.26%)
* 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.