Photos | Dining with Distinguished Guests

John XXIII and Christian Sprenger join a group of 32 others for a delicious meal at a restaurant in 2008. The table is set with cutlery, glasses, and accessories, while stunning artwork hangs on the walls in the background.
BLIP-2 Description:
a group of people sitting around a table with foodMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
architecture cutlery dining table cafeteria headgear spoon urban grab building meal pub food sprenger buffet lamp hat wristwatch secure dinner restaurant furniture one flooring court art knife still_secure linen altar glasses indoors prayer dining still church christian table room accessories blade couch cafe home plate john xxiii decor cup floor 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
2008-08-09T21:46:27-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(38.28%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.66%)
failure
(-0.34%)
harmonious color
(-2.39%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(-0.87%)
intrusive object presence
(-9.40%)
lively color
(-36.87%)
low light
(87.06%)
noise
(-2.59%)
pleasant camera tilt
(-6.68%)
pleasant composition
(-55.47%)
pleasant lighting
(-53.17%)
pleasant pattern
(11.16%)
pleasant perspective
(8.37%)
pleasant post processing
(-1.09%)
pleasant reflection
(0.85%)
pleasant symmetry
(1.68%)
sharply focused subject
(0.59%)
tastefully blurred
(-3.96%)
well chosen subject
(-8.48%)
well framed subject
(-9.02%)
well timed shot
(13.06%)
all
(-5.36%)
* 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.