Photos | Restaurant Menu
A jar of forks sits on a table alongside a menu, showcasing the restaurant's offerings on a sleek plywood surface.
BLIP-2 Description:
a menu is on a table with a jar of forksChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
2304w x 3072h - (download 4k)
Usage
Dominant Color:
american pricing document call furniture container louis cool company hickory potato punch hardwood lousianna poster brisket beans rub best bottled ribs smoked st indoors chicken ou grill tax meats business salad shelf fruit la's park backyard hot jar based picnie smoke water bowl smoker text guests cookware cutlery cup restaurant baked plywood plus house off advertisement pot serve per coleslaw tow menu bbq wood
Detected Text
100 14 2045 810 888 8ft a all american backyard baked based bbq beans best bottled brisket business call chicken coleslaw company cool for fruit grill guests hickory hot house la's louis lousianna meats off on or ou our park per person picnie plus potato pricing punch restaurant ribs rub salad serve smoke smoked smoker st tax the to tow water we'll with your
iso
50
metering mode
5
aperture
f/2.8
focal length
8mm
shutter speed
1/60s
camera make
Canon
camera model
lens model
date
2006-05-18T13:20:59-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(35.23%)
curation
(25.00%)
highlight visibility
(2.44%)
behavioral
(70.35%)
failure
(-0.20%)
harmonious color
(6.24%)
immersiveness
(0.44%)
interaction
(1.00%)
interesting subject
(-43.99%)
intrusive object presence
(-3.71%)
lively color
(16.65%)
low light
(2.66%)
noise
(-1.76%)
pleasant camera tilt
(-4.39%)
pleasant composition
(-27.49%)
pleasant lighting
(3.40%)
pleasant pattern
(4.17%)
pleasant perspective
(14.40%)
pleasant post processing
(-3.77%)
pleasant reflection
(-0.54%)
pleasant symmetry
(1.61%)
sharply focused subject
(5.57%)
tastefully blurred
(-5.96%)
well chosen subject
(12.85%)
well framed subject
(43.46%)
well timed shot
(3.76%)
all
(4.98%)
* 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.