Photos | Dining with Friends

Robert Chen and a friend enjoy a meal at a restaurant in San Diego, surrounded by paintings and modern technology.
BLIP-2 Description:
two men sitting at a table with foodMetadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
Location:
hangry architecture beer glass tableware pub frame building food mobile bar beverage plywood transportation luggage wristwatch restaurant furniture utensil boat design harborview container bag wood court art drinking television cluck machine hardware alcohol desk indoors dining pc off bar counter interior electronics vehicle screen table accessories room monitor couch cafe laptop part center tv phone entertainment cup computer italy robert chen handbag painting motorcycle consumer little
iso
200
metering mode
5
aperture
f/1.8
focal length
4mm
latitude
32.73
longitude
-117.17
shutter speed
1/4s
camera make
Apple
camera model
lens model
date
2017-02-01T21:37:12.511000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(30.86%)
curation
(65.77%)
highlight visibility
(5.71%)
behavioral
(90.75%)
failure
(-0.51%)
harmonious color
(-1.54%)
immersiveness
(0.12%)
interaction
(4.00%)
interesting subject
(-13.53%)
intrusive object presence
(-6.69%)
lively color
(-4.43%)
low light
(65.14%)
noise
(-4.69%)
pleasant camera tilt
(-12.78%)
pleasant composition
(-50.05%)
pleasant lighting
(-45.63%)
pleasant pattern
(7.59%)
pleasant perspective
(-3.51%)
pleasant post processing
(2.28%)
pleasant reflection
(-7.82%)
pleasant symmetry
(0.24%)
sharply focused subject
(0.17%)
tastefully blurred
(-36.13%)
well chosen subject
(-43.90%)
well framed subject
(3.49%)
well timed shot
(-14.93%)
all
(-8.32%)
* 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.