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 foodChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
Location:
machine frame couch room drinking cluck furniture desk container italy laptop dining consumer hardware screen vehicle part boat cafe glass tv transportation court wristwatch pc indoors bag accessories wood beverage pub building architecture luggage food monitor beer robert chen little utensil hangry bar table interior mobile painting bar counter phone cup restaurant alcohol computer plywood handbag television off design center art motorcycle entertainment electronics tableware harborview
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.