Photos | A Gathering of 13 People at a Restaurant Buffet
Daniel Sarmiento Melián and 12 others enjoy a delicious meal indoors at a restaurant cafeteria buffet, surrounded by elegant furniture and a shimmering chandelier above.
BLIP-2 Description:
a group of people standing around a table with foodChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
daniel buffet room furniture kitchen chandelier floor dining hardware screen lamp court wristwatch indoors accessories lunch brunch dish plate glasses footwear cafeteria building architecture food monitor table light dinner cup restaurant meal flooring computer rekognition_c sarmiento melián electronics shoe
iso
400
metering mode
5
aperture
f/1.8
focal length
4mm
shutter speed
1/30s
camera make
Apple
camera model
lens model
date
2018-10-10T20:21:10.240000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(26.44%)
curation
(69.31%)
highlight visibility
(82.17%)
behavioral
(70.65%)
failure
(-0.66%)
harmonious color
(-1.60%)
immersiveness
(0.17%)
interaction
(1.00%)
interesting subject
(-53.08%)
intrusive object presence
(-18.21%)
lively color
(-15.78%)
low light
(39.75%)
noise
(-4.64%)
pleasant camera tilt
(-12.52%)
pleasant composition
(-84.86%)
pleasant lighting
(-49.88%)
pleasant pattern
(9.64%)
pleasant perspective
(-7.99%)
pleasant post processing
(1.61%)
pleasant reflection
(-3.62%)
pleasant symmetry
(0.44%)
sharply focused subject
(0.20%)
tastefully blurred
(-16.20%)
well chosen subject
(-37.99%)
well framed subject
(-49.98%)
well timed shot
(-4.76%)
all
(-11.08%)
* 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.