Photos | Gathering at a Local Burbank Restaurant
A diverse group sits at a table in a Burbank restaurant, enjoying their meal and drinks together. With a variety of hats, clothing, and wristwatches, they gather around a table filled with plates, utensils, and cups. The restaurant's modern furnishings and electronic screens create a comfortable atmosphere for dining and socializing.
BLIP-2 Description:
a group of people sitting at a table eating foodChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
cutlery architecture beer glass cafeteria headgear page burbank tableware softwan building meal pub food brunch baby dish beverage buffet hat wristwatch dinner restaurant furniture utensil coffee wood court breakfast drinking document hardware machine alcohol indoors lunch dining interior meson electronics bread screen fork table room monitor drink jam downtown cafe plate tv printed cup computer undershirt roblem saucer
iso
125
metering mode
5
aperture
f/1.8
focal length
4mm
latitude
34.18
longitude
-118.31
shutter speed
1/60s
camera make
Apple
camera model
lens model
date
2019-09-05T15:52:14.778000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(37.62%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.70%)
failure
(-0.22%)
harmonious color
(3.02%)
immersiveness
(0.22%)
interaction
(1.00%)
interesting subject
(-29.00%)
intrusive object presence
(-6.81%)
lively color
(10.21%)
low light
(3.54%)
noise
(-1.64%)
pleasant camera tilt
(-8.87%)
pleasant composition
(-57.91%)
pleasant lighting
(-28.81%)
pleasant pattern
(20.24%)
pleasant perspective
(6.09%)
pleasant post processing
(3.14%)
pleasant reflection
(-2.68%)
pleasant symmetry
(0.49%)
sharply focused subject
(0.54%)
tastefully blurred
(-4.85%)
well chosen subject
(-29.47%)
well framed subject
(-22.50%)
well timed shot
(-3.48%)
all
(-2.70%)
* 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.