Photos | Dining with Friends
A group of four friends sit around a beautifully set dining table with wine glasses, enjoying good conversation and great company.
BLIP-2 Description:
a group of people sitting at a table with wine glassesChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
480w x 640h - (download 4k)
Usage
Dominant Color:
architecture cutlery dining table wine sippin glass beer door tableware plant building frame meal food window thepoet chair portrait ring dish beverage lamp liquor cabinet bumrussians living dinner restaurant furniture utensil container bag party art drinking alcohol junglescene indoors candle tabletop dining red interior noel jewelry fork bumrussians_dinner_party-food_provided_by_thepoet_and_yourmom__the_cats_are_at_dave_and_lori__s_hous table room accessories drink couch wallet home plate potted decor photography cup handbag painting bottle
Detected Text
date
2002-08-29T13:03:49-07:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(31.52%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.56%)
failure
(-0.15%)
harmonious color
(1.03%)
immersiveness
(0.27%)
interaction
(1.00%)
interesting subject
(-36.21%)
intrusive object presence
(-7.28%)
lively color
(-8.68%)
low light
(13.09%)
noise
(-4.49%)
pleasant camera tilt
(-16.28%)
pleasant composition
(-70.51%)
pleasant lighting
(-24.73%)
pleasant pattern
(6.23%)
pleasant perspective
(0.22%)
pleasant post processing
(4.53%)
pleasant reflection
(-2.84%)
pleasant symmetry
(0.66%)
sharply focused subject
(0.15%)
tastefully blurred
(-2.96%)
well chosen subject
(-12.01%)
well framed subject
(-36.40%)
well timed shot
(-5.02%)
all
(-5.20%)
* 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.