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:
architecture cutlery glass door headgear cafeteria spoon tableware bowl building meal baseball food chair portrait mobile cap dish lamp hat restaurant furniture utensil court eating painting art drinking diner indoors lunch dining interior electronics bread fork table room couch cafe plate phone photography cup old_eecue
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.