Photos | Gathering around an opulent cafeteria dinner table
Courtney Bruce and seven others gather around a table filled with delicious food and luxurious tableware at a bustling indoor cafeteria.
BLIP-2 Description:
people are standing around a table with bowls of foodChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
buffet cap room furniture desk dining hardware recreation screen jeans tattoo child shoe skin tv food court indoors bag accessories beverage baseball jewelry shelf pants pub dish plate courtney bruce footwear cafeteria building architecture necklace food monitor counter chef utensil bar table boy mobile coat phone cup restaurant alcohol meal plywood computer handbag hat art electronics tableware wood
iso
640
metering mode
5
aperture
f/1.8
focal length
4mm
shutter speed
1/30s
camera make
Apple
camera model
lens model
date
2019-01-09T21:13:43.741000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(21.33%)
curation
(65.38%)
highlight visibility
(5.68%)
behavioral
(90.72%)
failure
(-1.59%)
harmonious color
(1.73%)
immersiveness
(0.17%)
interaction
(1.00%)
interesting subject
(-43.82%)
intrusive object presence
(-6.49%)
lively color
(7.70%)
low light
(5.18%)
noise
(-7.25%)
pleasant camera tilt
(-11.24%)
pleasant composition
(-81.69%)
pleasant lighting
(-41.82%)
pleasant pattern
(10.42%)
pleasant perspective
(-6.88%)
pleasant post processing
(3.00%)
pleasant reflection
(-4.68%)
pleasant symmetry
(0.17%)
sharply focused subject
(0.27%)
tastefully blurred
(-48.54%)
well chosen subject
(-41.26%)
well framed subject
(-52.25%)
well timed shot
(-19.41%)
all
(-10.39%)
* 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.