Photos | Lunch at the Restaurant
A group of 7 people, including 2 men and 5 adults, enjoy a leisurely lunch at a restaurant dining table, complete with plates, utensils, and glasses. They are seen eating soup and stew from bowls and drinking from cups. The interior room is decorated with furniture and a helmet can be seen in the background.
BLIP-2 Description:
a group of people eating at a tableChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
architecture cutlery misah glass cafeteria bride spoon tableware bowl building meal food chair portrait brunch baby dish wedding beverage buffet hot dinner restaurant furniture utensil court container eating bottle drinking old junglescene indoors lunch supper dining interior helmet stew bluebeat table room couch plate photography cup pot soup
Detected Text
date
2002-10-20T13:38:11-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(22.49%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.59%)
failure
(-0.59%)
harmonious color
(-1.42%)
immersiveness
(0.15%)
interaction
(2.00%)
interesting subject
(-65.72%)
intrusive object presence
(-16.36%)
lively color
(0.13%)
low light
(31.88%)
noise
(-3.52%)
pleasant camera tilt
(-4.30%)
pleasant composition
(-80.86%)
pleasant lighting
(-39.84%)
pleasant pattern
(3.96%)
pleasant perspective
(-12.84%)
pleasant post processing
(-1.82%)
pleasant reflection
(-0.53%)
pleasant symmetry
(0.12%)
sharply focused subject
(0.76%)
tastefully blurred
(-11.26%)
well chosen subject
(-39.55%)
well framed subject
(-40.82%)
well timed shot
(-14.97%)
all
(-10.87%)
* 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.