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:
spoon cloud sure bullock drinking tableware seaweed allioli tuck torre classic food potato paella shitake include box posts living page level dave melissasproduce furnished presented soy inner ip printed glass mashed french foam sponsors document bowl gelateria menu melissasproduc salmon social vegan artichokes parmesan plate dec table gelato salad receipt chef media text utensil arugula smoked vinaigrette awesome mushrooms clu tiradito rice cup district uli furniture hotel
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 with AI (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.