Photos | Enjoying a Meal at the Restaurant
A man in a baseball hat is seen sitting at a dining table, enjoying his meal while talking on his mobile phone in a cozy restaurant. The table is adorned with a bowl of food, plates, utensils, and six drinking cups. The furniture in the background includes three chairs, two dining tables, two lamps, a painting, and a couch.
BLIP-2 Description:
a man eating food at a restaurantChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
spoon fork cap room couch drinking furniture eating dining bread lamp cafe glass court indoors photography baseball diner lunch chair dish plate building cafeteria architecture old_eecue food utensil bowl portrait interior table mobile painting cutlery cup phone restaurant meal headgear door hat art electronics tableware
date
2003-02-19T12:21:56-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(25.15%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.69%)
failure
(-1.07%)
harmonious color
(0.76%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(-49.83%)
intrusive object presence
(-7.69%)
lively color
(-9.36%)
low light
(88.48%)
noise
(-16.58%)
pleasant camera tilt
(-10.03%)
pleasant composition
(-73.58%)
pleasant lighting
(-49.15%)
pleasant pattern
(4.54%)
pleasant perspective
(-2.17%)
pleasant post processing
(3.42%)
pleasant reflection
(-2.25%)
pleasant symmetry
(0.24%)
sharply focused subject
(0.46%)
tastefully blurred
(-28.47%)
well chosen subject
(-33.67%)
well framed subject
(0.90%)
well timed shot
(-7.26%)
all
(-9.38%)
* 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.