Photos | The Gang at the Pool Table
Vinit Rai, Tunku Ismail Idris, Cinthya Carmona, Mr. Fuji, Kevin H, Dave B, Alvaro V, Todd, and Francisco C strike a pose in front of the pool table during their visit to Los Angeles in 2016. #Groupshot #Indoors #People #Table #31People
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
Dominant Color:
Location:
factory couch lamp glasses 茶 dave footwear bag vincent s vinit rai pen school necklace tennis chair manufacturing jewelry ismail mr table building alvaro v lighting fuji francisco c groupshot shoe handbag desk workshop classroom room idris team tunku ball wristwatch cup cinthya carmona tabletop architecture hat sport furniture district accessories indoors shawn crowd
Detected Text
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
(35.38%)
curation
(94.34%)
highlight visibility
(78.78%)
behavioral
(70.53%)
failure
(-0.17%)
harmonious color
(-1.22%)
immersiveness
(0.12%)
interaction
(2.00%)
interesting subject
(21.70%)
intrusive object presence
(-16.14%)
lively color
(6.11%)
low light
(2.03%)
noise
(-1.03%)
pleasant camera tilt
(-4.72%)
pleasant composition
(-48.97%)
pleasant lighting
(-22.12%)
pleasant pattern
(10.55%)
pleasant perspective
(4.44%)
pleasant post processing
(-0.13%)
pleasant reflection
(-1.54%)
pleasant symmetry
(0.51%)
sharply focused subject
(0.44%)
tastefully blurred
(-9.27%)
well chosen subject
(-39.21%)
well framed subject
(-8.48%)
well timed shot
(7.47%)
all
(-2.18%)
* 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.