Photos | Holiday Cheers in Front of the Sparkling Tree

Rushmi Chakravarthi and Lori S enjoy a festive night at The Broad, sipping wine and admiring the beautiful Christmas tree.
BLIP-2 Description:
a woman in a black dress holding a glass of wine in front of a christmas treeMetadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Location:
candlestick architecture glass wine hanukkah necklace tableware lori s plant building chair festival wristwatch tree restaurant furniture decorations decoration utensil christmas tree party drinking glass art hardware machine fun indoors candle rushmi chakravarthi electronics living room jewelry screen light fir accessories room monitor goblet couch christmas lighting menorah computer consumer
iso
80
metering mode
5
aperture
f/1.8
focal length
4mm
latitude
34.05
longitude
-118.25
shutter speed
1/7s
camera make
Apple
camera model
lens model
date
2016-12-31T20:45:15.775000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(36.30%)
curation
(89.76%)
highlight visibility
(83.73%)
behavioral
(70.70%)
failure
(-0.29%)
harmonious color
(2.29%)
immersiveness
(0.17%)
interaction
(6.00%)
interesting subject
(-29.91%)
intrusive object presence
(-10.25%)
lively color
(-9.48%)
low light
(23.41%)
noise
(-4.71%)
pleasant camera tilt
(-8.71%)
pleasant composition
(-51.76%)
pleasant lighting
(-31.74%)
pleasant pattern
(6.96%)
pleasant perspective
(3.18%)
pleasant post processing
(2.25%)
pleasant reflection
(-5.52%)
pleasant symmetry
(0.63%)
sharply focused subject
(0.71%)
tastefully blurred
(-1.54%)
well chosen subject
(-33.25%)
well framed subject
(5.92%)
well timed shot
(-0.11%)
all
(-4.42%)
* NOTE: Amazon Rekognition
detected a celebrity in this image using the
Celebrity Recognition API. The API isn't perfect, but it does give you the MatchConfidence which I display
next to the celebrity's name along with links _↗ to their info.
* 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.