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:
cutlery architecture kitchen glass dining room saucer refrigerator tableware appliance building meal food tablet microwave brunch beverage dish oven furniture akihiko shiota utensil design coffee container wood breakfast drinking hardware candle indoors tabletop pc lunch dining interior electronics bread mobile phone fork screen table accessories room monitor wallet laptop device plate presentation phone cup computer bottle electrical
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.