Photos | A Night Out at the Restaurant
Kacey Bellamy and a group of 12 people enjoy a delicious meal and good company around a rustic wooden table in an indoor restaurant. The room is adorned with art and a flower arrangement, adding to the cozy atmosphere.
BLIP-2 Description:
people gathered around a table in a restaurantChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
architecture 前进 风 cafeteria plant building frame pub food chair flower footwear mobile geek beverage plywood cap arrangement wristwatch hat kacey living dinner restaurant furniture flooring court container wood shoe bag 大浪 art sitting linen srpc alcohol indoors dining belt 中 electronics sign rekognition_c hardwood table room accessories couch cafe home decor phone bellamy cup floor handbag painting bottle
iso
3200
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/25s
camera make
Canon
camera model
lens model
date
2008-07-15T22:30:26-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(31.15%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.54%)
failure
(-0.37%)
harmonious color
(-1.18%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(-42.63%)
intrusive object presence
(-10.82%)
lively color
(-42.97%)
low light
(7.57%)
noise
(-2.69%)
pleasant camera tilt
(-12.13%)
pleasant composition
(-85.35%)
pleasant lighting
(-48.00%)
pleasant pattern
(3.42%)
pleasant perspective
(-1.44%)
pleasant post processing
(-2.08%)
pleasant reflection
(-3.25%)
pleasant symmetry
(0.51%)
sharply focused subject
(0.20%)
tastefully blurred
(-32.35%)
well chosen subject
(6.10%)
well framed subject
(-37.21%)
well timed shot
(-0.19%)
all
(-9.94%)
* 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.