Photos | Mojito Mixology at the Urban Pub
Li Yuwei shows off his bartending skills with a tray of seven mojitos and two glasses, surrounded by friends and adorned with tattoos and a baseball cap.
BLIP-2 Description:
a man holding a tray of drinksChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
cocktail room drinking citrus lets urban furniture desk container model dining undershirt drink fun tattoo plant glass beverage accessories bag indoors photography baseball pub chair fruit bottle glasses remain liquor produce goblet cnocked food extr extra beer beer glass counter utensil water li yuwei portrait bar table tin party interior cup drenko alcohol restaurant meal lager handbag mojito lime headgear hat art door corona tableware
iso
25
metering mode
5
aperture
f/1.8
focal length
4mm
shutter speed
1/40s
camera make
Apple
camera model
lens model
date
2018-06-15T18:29:40.277000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(46.68%)
curation
(66.04%)
highlight visibility
(5.58%)
behavioral
(70.69%)
failure
(-0.22%)
harmonious color
(1.04%)
immersiveness
(0.12%)
interaction
(6.00%)
interesting subject
(43.97%)
intrusive object presence
(-4.64%)
lively color
(0.66%)
low light
(7.10%)
noise
(-3.47%)
pleasant camera tilt
(-2.02%)
pleasant composition
(-21.36%)
pleasant lighting
(-31.59%)
pleasant pattern
(11.65%)
pleasant perspective
(4.75%)
pleasant post processing
(-0.04%)
pleasant reflection
(-0.16%)
pleasant symmetry
(0.37%)
sharply focused subject
(1.29%)
tastefully blurred
(-4.64%)
well chosen subject
(-43.12%)
well framed subject
(29.44%)
well timed shot
(4.17%)
all
(-0.35%)
* 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.