Photos | Evening Banquet - Winter 2017
An engaging scene of camaraderie captured inside a lively restaurant. Notable personalities like Nikolay Apalikov, Tsukasa Hōjō, and Andy N were part of the lively crowd. The vivacious urban setting captured frames an unforgettable evening spent indulging in delicious food and rich conversation. Dated: 15th December 2017.
BLIP-2 Description:
a group of people sitting at tables in a restaurantMetadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
tsukasa urban phone night plate party restaurant glasses portrait outdoor mobile tie formal footwear bread court interior food necklace cafeteria chair city counter jewelry table building pub lighting electronics shoe linen decor dining table glass bar room hōjō andy metropolis cityscape cup cafe beverage nikolay apalikov suit architecture life meal wear furniture fun alcohol accessories photography dining indoors home crowd
iso
640
metering mode
5
aperture
f/1.8
focal length
4mm
shutter speed
1/17s
camera make
Apple
camera model
lens model
overall
(26.20%)
curation
(68.23%)
highlight visibility
(5.90%)
behavioral
(90.83%)
failure
(-0.56%)
harmonious color
(-0.54%)
immersiveness
(0.20%)
interaction
(4.00%)
interesting subject
(-1.52%)
intrusive object presence
(-9.59%)
lively color
(-5.07%)
low light
(91.80%)
noise
(-5.37%)
pleasant camera tilt
(-13.13%)
pleasant composition
(-63.13%)
pleasant lighting
(-47.95%)
pleasant pattern
(8.76%)
pleasant perspective
(-2.17%)
pleasant post processing
(-0.21%)
pleasant reflection
(-4.78%)
pleasant symmetry
(0.29%)
sharply focused subject
(0.15%)
tastefully blurred
(-22.66%)
well chosen subject
(-24.07%)
well framed subject
(-34.33%)
well timed shot
(-4.48%)
all
(-8.05%)
* 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-4-0613
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.