Photos | Dining with Good Company
Oh Tae-kyung, John XXIII, Chris Elmore, John XXIII, and Dave B enjoy a delicious meal together at a cozy restaurant. The artwork and furniture enhance the already inviting interior of the space.
BLIP-2 Description:
a group of people sitting around a table in a restaurantChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
architecture cutlery dining table xxiii cafeteria spoon john building frame meal food pub oh tae-kyung buffet lamp hat secure dinner restaurant furniture flooring court art knife still_secure linen dave altar glasses indoors prayer dining still church interior helmet bread table accessories room blade couch cafe home plate decor cup floor chris elmore painting weapon
iso
1600
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/160s
camera make
Canon
camera model
lens model
date
2008-08-09T21:46:50-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(39.09%)
curation
(65.52%)
highlight visibility
(5.54%)
behavioral
(70.61%)
failure
(-0.46%)
harmonious color
(-1.80%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(-27.76%)
intrusive object presence
(-8.06%)
lively color
(-40.58%)
low light
(96.39%)
noise
(-2.95%)
pleasant camera tilt
(-7.14%)
pleasant composition
(-63.87%)
pleasant lighting
(-54.00%)
pleasant pattern
(11.21%)
pleasant perspective
(7.22%)
pleasant post processing
(0.82%)
pleasant reflection
(1.50%)
pleasant symmetry
(2.12%)
sharply focused subject
(0.49%)
tastefully blurred
(-2.12%)
well chosen subject
(-0.65%)
well framed subject
(-20.37%)
well timed shot
(-2.71%)
all
(-7.06%)
* 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.