Photos | A Festive Feast

Three hungry diners indulge in a mouthwatering meal at The Broad art museum in Los Angeles, California. The colorful spread includes an assortment of utensils, plates, bowls, and glasses, as well as wine and other drinks.
BLIP-2 Description:
a table with food and drinks on itMetadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
wine chair food court dish meat knife lunch winter electronics blade downtown california handbag year’s architecture continental beer food brunch buffet beverage grand loaf apple ml restaurant states negative alcohol indoors bread fork screen table united states drink los angeles linen cutlery december ca meal child dinner furniture plus bag bottle drinking dining room monitor broad decor new cup computer glass cafeteria boy spoon tableware celebration eve bowl building holiday hat utensil seasoning container iphone hardware united ave accessories home plate apple weapon saucer
iso
64
metering mode
5
aperture
f/1.8
focal length
4mm
latitude
34.05
longitude
-118.25
shutter speed
1/15s
camera make
Apple
camera model
lens model
date
2016-12-31T18:20:43.753000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(3.74%)
curation
(50.00%)
highlight visibility
(2.45%)
behavioral
(70.45%)
failure
(-16.33%)
harmonious color
(-3.37%)
immersiveness
(0.29%)
interaction
(2.00%)
interesting subject
(-78.03%)
intrusive object presence
(-4.66%)
lively color
(4.08%)
low light
(56.20%)
noise
(-9.77%)
pleasant camera tilt
(-13.96%)
pleasant composition
(-69.48%)
pleasant lighting
(-37.33%)
pleasant pattern
(4.03%)
pleasant perspective
(-46.29%)
pleasant post processing
(-5.53%)
pleasant reflection
(-6.65%)
pleasant symmetry
(0.07%)
sharply focused subject
(0.44%)
tastefully blurred
(-75.24%)
well chosen subject
(-48.97%)
well framed subject
(-61.52%)
well timed shot
(-41.28%)
all
(-17.14%)
* 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.