Photos | The Wall Crowd at Plata Wine Party

Yoshihiro Nishimura was one of the 19 people sporting baseball caps, 5 different hats, and a variety of clothing and accessories at the 2011 Plata Wine Party, where a group gathered around a plywood wall for a photo.
BLIP-2 Description:
a group of people standing around a wallMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
sweatshirt wine headgear jeans pants necklace urban hoodie baseball fence overcoat yoshihiro nishimura footwear sweater cap plywood nest tent hat sidewalk walkway crowd restaurant road jacket wood shoe bag city party street plata_wine_party shirt coat glasses poster indoors path helmet jewelry plata accessories coast beanie part back cup advertisement handbag knitwear
iso
1600
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/10s
camera make
Canon
camera model
lens model
date
2011-03-26T20:19:13.630000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(22.31%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.59%)
failure
(-1.20%)
harmonious color
(-2.12%)
immersiveness
(0.51%)
interaction
(1.00%)
interesting subject
(-44.75%)
intrusive object presence
(-28.34%)
lively color
(-0.65%)
low light
(5.27%)
noise
(-4.83%)
pleasant camera tilt
(-8.25%)
pleasant composition
(-78.08%)
pleasant lighting
(-28.03%)
pleasant pattern
(8.47%)
pleasant perspective
(-15.38%)
pleasant post processing
(-1.02%)
pleasant reflection
(-4.64%)
pleasant symmetry
(0.32%)
sharply focused subject
(0.44%)
tastefully blurred
(-13.66%)
well chosen subject
(-53.52%)
well framed subject
(-52.49%)
well timed shot
(-11.51%)
all
(-10.24%)
* 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.