Photos | Urban Nightlife Performance
Renato Salvatori entertains the crowd with his musical skills at the 2006 Viram Funktion party, surrounded by furniture and electronics, including 3 speakers, headphones, and a deejay disc. His black shirt and jeans perfectly capture the urban vibe of the night club.
BLIP-2 Description:
a man in a black shirt playing music at a partyMetadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
urban instrument funktion rekognition_c recreation night jeans bracelet music glasses party cap footwear renato interior deejay musical entertainer headphones counter jewelry concert table pub electronics glove shoe desk salvatori nightclub viram bar room pants undershirt cup beverage performance disk speaker life hat baseball pioneer furniture club fun accessories alcohol speakers indoors crowd
Detected Text
iso
400
metering mode
5
aperture
f/4
focal length
17mm
shutter speed
1/15s
camera make
Canon
camera model
lens model
overall
(23.29%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.59%)
failure
(-0.73%)
harmonious color
(-2.49%)
immersiveness
(0.20%)
interaction
(1.00%)
interesting subject
(-63.23%)
intrusive object presence
(-38.11%)
lively color
(-11.32%)
low light
(96.48%)
noise
(-5.54%)
pleasant camera tilt
(-6.84%)
pleasant composition
(-89.45%)
pleasant lighting
(-49.88%)
pleasant pattern
(2.22%)
pleasant perspective
(-3.19%)
pleasant post processing
(-4.49%)
pleasant reflection
(-0.89%)
pleasant symmetry
(0.27%)
sharply focused subject
(0.37%)
tastefully blurred
(-12.67%)
well chosen subject
(-11.76%)
well framed subject
(-44.63%)
well timed shot
(11.63%)
all
(-9.28%)
* 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.