Photos | Lunchtime Feast at the Cafeteria.
Chen Ying and six others savor a sumptuous meal at a wooden dining table in a LA cafeteria. The group is surrounded by a colorful array of food bowls, tableware, utensils, and containers.
BLIP-2 Description:
a group of people standing around a table with bowls of foodChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
2448w x 3264h - (download 4k)
Usage
Dominant Color:
Location:
restaurant accessories architecture carton food table shoe bread tabletop floor desk electronics handbag cafeteria district bowl pen buffet flooring chen ying phone necklace wood furniture indoors dining chair room court brunch building container tableware cup utensil tortilla plate chips footwear meal luggage mobile bag hintof jewelry plywood lunch
iso
160
metering mode
5
aperture
f/2.2
focal length
4mm
latitude
34.05
longitude
-118.26
shutter speed
1/30s
camera make
Apple
camera model
lens model
overall
(30.37%)
curation
(25.00%)
highlight visibility
(2.45%)
behavioral
(70.62%)
failure
(-0.24%)
harmonious color
(-1.21%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(-35.28%)
intrusive object presence
(-7.03%)
lively color
(7.35%)
low light
(10.86%)
noise
(-3.27%)
pleasant camera tilt
(-9.43%)
pleasant composition
(-70.80%)
pleasant lighting
(-30.66%)
pleasant pattern
(8.59%)
pleasant perspective
(-16.31%)
pleasant post processing
(2.16%)
pleasant reflection
(-1.31%)
pleasant symmetry
(0.15%)
sharply focused subject
(0.22%)
tastefully blurred
(-1.45%)
well chosen subject
(-54.74%)
well framed subject
(-37.99%)
well timed shot
(-14.65%)
all
(-8.69%)
* 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 with AI (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.