Photos | A Cozy Dinner for Three
A man and woman share a bottle of wine at a beautifully set dining table with utensils and elegant dinnerware.
BLIP-2 Description:
a man and woman are sitting at a table with a bottle of wineChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
480w x 640h - (download 4k)
Usage
Dominant Color:
architecture dining table wine beer glass headgear jeans bride tableware bracelet absinthe urban baseball building frame meal food chair thepoet portrait pub bar cap beverage dish wedding liquor lager hat wristwatch bumrussians dinner restaurant furniture counter utensil container bag danny party art drinking alcohol junglescene indoors dining noel jewelry bumrussians_dinner_party-food_provided_by_thepoet_and_yourmom__the_cats_are_at_dave_and_lori__s_hous table room accessories drink couch plate photography cup bean handbag painting bottle
Detected Text
date
2002-08-29T13:03:58-07:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(23.02%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.75%)
failure
(-0.39%)
harmonious color
(-1.47%)
immersiveness
(0.10%)
interaction
(1.00%)
interesting subject
(-55.52%)
intrusive object presence
(-16.33%)
lively color
(-8.98%)
low light
(15.26%)
noise
(-6.49%)
pleasant camera tilt
(-10.40%)
pleasant composition
(-79.30%)
pleasant lighting
(-43.55%)
pleasant pattern
(2.20%)
pleasant perspective
(-3.27%)
pleasant post processing
(0.49%)
pleasant reflection
(-3.68%)
pleasant symmetry
(0.15%)
sharply focused subject
(0.17%)
tastefully blurred
(-13.94%)
well chosen subject
(-17.97%)
well framed subject
(-32.86%)
well timed shot
(-8.28%)
all
(-9.65%)
* NOTE: This image was scaled up from its original size using an AI model called GFP-GAN (Generative Facial Prior), which is a
Generative adversartial network that can be used to repair (or upscale in this case) photos, sometimes the results are a little...
weird.
* 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.