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:
cnocked extra glass beer door headgear tin tableware urban beer glass remain pub meal plant food portrait bar mojito chair lager baseball fruit beverage liquor li yuwei hat restaurant furniture counter utensil citrus container bag party model art drinking lime fun alcohol desk glasses indoors dining water interior extr table accessories room drenko goblet drink tattoo lets cocktail photography cup corona produce handbag undershirt bottle
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.