Photos | Plata Wine Party Crowd
Fatma Şahin and Sofie Hagen among the 21 people enjoying art, wine, and conversation at the Plata Wine Party in 2011. Coats, hats, and shoes fill the container while mobile phones and glasses provide accessories for the crowd.
BLIP-2 Description:
a group of people standing in a roomChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
sweatshirt sleeve wine pants hoodie baseball overcoat mobile gallery footwear sweater cap lamp hat luggage jacket flooring container shoe party art plata_wine_party sofie coat glasses indoors long sleeve photographer electronics sign plata accessories fatma şahin phone hagen floor crowd painting knitwear
iso
1600
metering mode
5
aperture
f/2.8
exposure bias
0.32999999999999996
focal length
16mm
shutter speed
1/50s
camera make
Canon
camera model
lens model
date
2011-03-26T20:52:46.790000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(27.29%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.59%)
failure
(-0.49%)
harmonious color
(-3.45%)
immersiveness
(0.61%)
interaction
(1.00%)
interesting subject
(-57.18%)
intrusive object presence
(-8.74%)
lively color
(-19.34%)
low light
(25.00%)
noise
(-1.25%)
pleasant camera tilt
(-11.18%)
pleasant composition
(-70.41%)
pleasant lighting
(-58.15%)
pleasant pattern
(5.03%)
pleasant perspective
(-9.58%)
pleasant post processing
(0.47%)
pleasant reflection
(-4.74%)
pleasant symmetry
(0.49%)
sharply focused subject
(0.15%)
tastefully blurred
(-0.34%)
well chosen subject
(-12.66%)
well framed subject
(-48.24%)
well timed shot
(-1.83%)
all
(-10.23%)
* 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.