Photos | Lunch with Dave B at a Fine Dining Restaurant
Dave B enjoys a meal with five other men at a beautifully designed dining table filled with tableware and cutlery. The restaurant's modern interior room showcases a mix of furniture and accessories while three cars can be seen through the window in the background.
BLIP-2 Description:
a group of people sitting at a tableChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
2316w x 3088h - (download 4k)
Usage
Dominant Color:
spoon fork buffet machine room couch drinking wheel urban furniture container eyeglasses dining bread tabletop consumer undershirt dave vehicle car glass shoe cafe transportation court indoors accessories beverage tire photography pizza equipment lunch jewelry diner chair brunch dish plate optical glasses building cafeteria footwear architecture necklace food beer spoke utensil automobile portrait interior table dining table dinner mobile cutlery cup phone restaurant alcohol meal plywood bracelet electronics tableware alloy wood
iso
250
metering mode
5
aperture
f/2.2
focal length
3mm
shutter speed
1/60s
camera make
Apple
camera model
lens model
date
2018-10-19T18:01:14.321000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(29.59%)
curation
(65.77%)
highlight visibility
(5.56%)
behavioral
(70.66%)
failure
(-0.66%)
harmonious color
(-0.76%)
immersiveness
(0.15%)
interaction
(4.00%)
interesting subject
(-23.89%)
intrusive object presence
(-12.38%)
lively color
(7.06%)
low light
(1.64%)
noise
(-11.87%)
pleasant camera tilt
(-11.16%)
pleasant composition
(-84.91%)
pleasant lighting
(-16.85%)
pleasant pattern
(7.47%)
pleasant perspective
(-10.02%)
pleasant post processing
(-1.94%)
pleasant reflection
(-2.32%)
pleasant symmetry
(0.24%)
sharply focused subject
(0.73%)
tastefully blurred
(-15.08%)
well chosen subject
(-38.40%)
well framed subject
(-50.68%)
well timed shot
(-3.49%)
all
(-6.94%)
* 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.