Photos | Dining at the Café
Karen, Nabiha, Masamune, Edmond, Francisco and 34 other people gathered together for a delicious meal at this beautiful restaurant.
BLIP-2 Description:
a large group of people sitting at tables in a restaurantChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
architecture dining table summer cafeteria interior room urban plant building masamune wada food chair footwear decorative hat wristwatch daële akkari van restaurant furniture design plus charles v bag shoe wood francisco court iphone art nabiha hall glasses indoors dining july interior karen phillips apple edmond table accessories room francisco contreras handbag cafe alvaro и вет cup crowd painting
iso
64
metering mode
5
aperture
f/1.8
focal length
4mm
shutter speed
1/15s
camera make
Apple
camera model
lens model
date
2017-07-21T13:24:28.195000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(43.04%)
curation
(70.80%)
highlight visibility
(5.94%)
behavioral
(70.60%)
failure
(-0.32%)
harmonious color
(1.27%)
immersiveness
(0.49%)
interaction
(1.00%)
interesting subject
(13.79%)
intrusive object presence
(-10.42%)
lively color
(6.29%)
low light
(13.21%)
noise
(-2.05%)
pleasant camera tilt
(-9.89%)
pleasant composition
(-56.30%)
pleasant lighting
(-6.34%)
pleasant pattern
(25.51%)
pleasant perspective
(-1.96%)
pleasant post processing
(2.16%)
pleasant reflection
(-5.53%)
pleasant symmetry
(1.46%)
sharply focused subject
(0.83%)
tastefully blurred
(5.31%)
well chosen subject
(-30.08%)
well framed subject
(-40.63%)
well timed shot
(6.97%)
all
(-0.22%)
* 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.