Photos | Plate of Deliciousness
Akihiko Shiota's meal at The Broad includes a mouth-watering plate of food, perfectly captured with his mobile phone.
BLIP-2 Description:
a white plate with food on itChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
fork akihiko shiota room oven drinking furniture kitchen container laptop tabletop wallet mobile phone hardware device dining room screen bread candle refrigerator glass pc indoors accessories beverage lunch brunch dish plate bottle building architecture food monitor microwave presentation utensil interior table dining cutlery cup phone electrical breakfast meal computer coffee saucer design appliance tablet electronics tableware wood
iso
50
metering mode
5
aperture
f/2.2
focal length
4mm
latitude
34.05
longitude
-118.25
shutter speed
1/30s
camera make
Apple
camera model
lens model
date
2016-01-19T07:51:40.946000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(35.62%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.43%)
failure
(-0.29%)
harmonious color
(0.28%)
immersiveness
(0.42%)
interaction
(1.00%)
interesting subject
(-28.78%)
intrusive object presence
(-8.18%)
lively color
(12.48%)
low light
(1.68%)
noise
(-1.98%)
pleasant camera tilt
(-12.62%)
pleasant composition
(-42.36%)
pleasant lighting
(-5.67%)
pleasant pattern
(10.94%)
pleasant perspective
(0.47%)
pleasant post processing
(2.40%)
pleasant reflection
(-6.51%)
pleasant symmetry
(1.15%)
sharply focused subject
(0.44%)
tastefully blurred
(-6.20%)
well chosen subject
(-16.96%)
well framed subject
(-10.64%)
well timed shot
(0.45%)
all
(-0.01%)
* 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.