Photos | Menu Delights

A printed page showcasing the tantalizing menu of a San Francisco restaurant during a 2009 vacation.
BLIP-2 Description:
a menu from the restaurant is on a tableMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
steak firnly jambalaya order dressing took coffee stew dinner salad mashed make soon de voyage onion lettuce vegetables tea stealed sea lalib toriato dare page gravy vacation vanilla pineapfle cake notes document printed potatces squash receipt requild rice stended sliced voyagd sette text invoice spanish potatoes chillud haliburger style buttered scup grilled hal bets boiled danish curry jour sf helo baked first
Detected Text
12 also and are at baked bets boiled buttered cake chillud coffee curry danish dare de dinner dressing during firnly first gravy grilled hal haliburger helo jambalaya jour lalib lettuce make mashed notes of onion order pineapfle potatces potatoes requild rice salad scup sea sette sliced soon spanish squash steak stealed stended stew style tea the to took toriato vanilla vegetables voyagd voyage w
iso
1600
metering mode
5
aperture
f/2.8
focal length
33mm
shutter speed
1/160s
camera make
Canon
camera model
lens model
date
2009-02-19T14:02:52.380000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
curation
(25.00%)
highlight visibility
(1.99%)
behavioral
(10.07%)
failure
(-3.08%)
harmonious color
(-1.89%)
immersiveness
(0.22%)
interaction
(1.00%)
interesting subject
(-90.09%)
intrusive object presence
(-4.49%)
lively color
(0.10%)
low light
(22.73%)
noise
(-10.64%)
pleasant camera tilt
(-14.03%)
pleasant composition
(-47.22%)
pleasant lighting
(-52.78%)
pleasant pattern
(2.71%)
pleasant perspective
(-19.13%)
pleasant post processing
(6.70%)
pleasant reflection
(-10.31%)
pleasant symmetry
(0.34%)
sharply focused subject
(0.81%)
tastefully blurred
(0.40%)
well chosen subject
(-7.31%)
well framed subject
(-0.58%)
well timed shot
(0.48%)
all
(-9.70%)
* 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.