Photos | A Fun Night of Billiards
Iwakiyama Ryūta, Francisco C, Andy N, Kevin H, Todd, Dave B, and Alvaro V gather for a groupshot in front of a pool table during a fun night of billiards 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
Dominant Color:
Location:
december united todd winter couch andy nguyen glasses andy n plus continental dave footwear bag pen alvaro school iwakiyama ryūta states necklace grand tennis ave chair apple ml jewelry table building iphone valdivieso francisco c groupshot shoe handbag living contreras los angeles classroom room team downtown ball wristwatch ca architecture hat sport francisco furniture district accessories indoors apple crowd california
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
(39.23%)
curation
(92.33%)
highlight visibility
(78.78%)
behavioral
(70.58%)
failure
(-0.17%)
harmonious color
(0.52%)
immersiveness
(0.15%)
interaction
(6.00%)
interesting subject
(36.01%)
intrusive object presence
(-15.60%)
lively color
(6.18%)
low light
(2.29%)
noise
(-1.27%)
pleasant camera tilt
(-4.84%)
pleasant composition
(-37.99%)
pleasant lighting
(-21.26%)
pleasant pattern
(13.33%)
pleasant perspective
(7.82%)
pleasant post processing
(-0.05%)
pleasant reflection
(-0.67%)
pleasant symmetry
(0.78%)
sharply focused subject
(0.56%)
tastefully blurred
(-5.85%)
well chosen subject
(-39.94%)
well framed subject
(3.30%)
well timed shot
(7.20%)
all
(-0.48%)
* 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.