Photos | Dining Delight
A delicious bowl of food and a detailed menu waiting to be savored on the table.
BLIP-2 Description:
a bowl of food and a menu on a tableMetadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
classic box tuck smoked posts plate mushrooms salad awesome salmon dave arugula parmesan potato include artichokes vegan receipt chef melissasproduc sure food spoon bowl cloud tiradito paella foam dec soy document drinking table allioli tableware torre living level gelato hotel media inner seaweed furnished glass menu uli french sponsors bullock cup presented ip social printed text utensil mashed shitake vinaigrette furniture district page clu rice gelateria melissasproduce
Detected Text
06 2017 8 allioli artichokes bullock chef cloud clu classic dave dec district french furnished foam gelateria gelato hotel ip inner mashed media melissasproduc melissasproduce our paella potato salmon shitake soy seaweed social sponsors tiradito torre tuck uli vegan vinaigrette w and arugula awesome be by in include level living mushrooms of parmesan posts presented salad smoked sure the to your
iso
40
metering mode
5
aperture
f/1.8
focal length
4mm
shutter speed
1/24s
camera make
Apple
camera model
lens model
overall
(18.23%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.30%)
failure
(-0.20%)
harmonious color
(1.00%)
immersiveness
(0.20%)
interaction
(2.00%)
interesting subject
(-71.58%)
intrusive object presence
(-6.32%)
lively color
(22.83%)
low light
(0.44%)
noise
(-1.88%)
pleasant camera tilt
(-12.00%)
pleasant composition
(-43.68%)
pleasant lighting
(-2.64%)
pleasant pattern
(16.63%)
pleasant perspective
(-11.55%)
pleasant post processing
(2.53%)
pleasant reflection
(-5.35%)
pleasant symmetry
(0.24%)
sharply focused subject
(1.90%)
tastefully blurred
(8.40%)
well chosen subject
(-42.92%)
well framed subject
(1.80%)
well timed shot
(-5.04%)
all
(-2.77%)
* 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.