Photos | Drinks with Friends
A group of nine people, including two males, four females, a child, a teen, and a man, sit around a dining table indoors, drinking and enjoying each other's company. The table is decorated with a tablecloth, and there are bottles and containers on the table.
BLIP-2 Description:
a group of people sitting at a table with drinksChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
architecture pen dining table summer glass cafeteria beer boy bride necklace bracelet urban building pub defcon portrait chair child meal food beverage wedding microphone hat wristwatch girl restaurant furniture unclescene container bag alcohol desk club junglescene indoors factory teen dining shirt 加 jewelry table room accessories august device photography 照 handbag tablecloth bottle electrical
Detected Text
date
2002-08-29T14:46:57-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(21.07%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.59%)
failure
(-0.90%)
harmonious color
(-2.97%)
immersiveness
(0.27%)
interaction
(1.00%)
interesting subject
(-40.31%)
intrusive object presence
(-12.79%)
lively color
(8.75%)
low light
(74.27%)
noise
(-6.64%)
pleasant camera tilt
(-11.31%)
pleasant composition
(-79.39%)
pleasant lighting
(-41.77%)
pleasant pattern
(4.30%)
pleasant perspective
(-19.86%)
pleasant post processing
(-0.24%)
pleasant reflection
(-1.63%)
pleasant symmetry
(0.10%)
sharply focused subject
(0.20%)
tastefully blurred
(-15.63%)
well chosen subject
(-38.70%)
well framed subject
(-45.39%)
well timed shot
(-6.46%)
all
(-10.44%)
* 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.