Photos | Plata Wine Party Group Shot

A group of five adults - four men and one woman - stand around a table at the 2011 Plata Wine Party, each dressed in their own unique style of clothing and footwear, including jackets, jeans, and various accessories. The group appears to be in deep conversation or perhaps listening to someone off-camera, as a microphone sits atop the table. The party takes place indoors, in what appears to be either an art gallery or a waiting room, as furniture, lighting, and artwork can be seen in the background.
BLIP-2 Description:
a group of people standing around a tableMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
sleeve wine jeans pants necklace overcoat chair gallery footwear sweater ring microphone luggage wristwatch crowd waiting furniture jacket container shoe bag party art plata_wine_party shirt coat glasses indoors electrical long jewelry plata accessories room blazer couch lighting device handbag knitwear
iso
1600
metering mode
5
aperture
f/2.8
exposure bias
0.32999999999999996
focal length
16mm
shutter speed
1/15s
camera make
Canon
camera model
lens model
date
2011-03-26T20:52:17.070000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(33.81%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.64%)
failure
(-0.42%)
harmonious color
(1.93%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(-51.12%)
intrusive object presence
(-12.50%)
lively color
(-35.89%)
low light
(16.26%)
noise
(-3.64%)
pleasant camera tilt
(-8.41%)
pleasant composition
(-88.04%)
pleasant lighting
(-43.68%)
pleasant pattern
(1.64%)
pleasant perspective
(1.98%)
pleasant post processing
(3.78%)
pleasant reflection
(-2.40%)
pleasant symmetry
(0.20%)
sharply focused subject
(0.22%)
tastefully blurred
(-14.18%)
well chosen subject
(-0.18%)
well framed subject
(-53.27%)
well timed shot
(7.93%)
all
(-7.80%)
* 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.