Photos | Rocking the Stage: A Night of Lights and Music
Heiner Bielefeldt and his band set the crowd on fire with an electrifying performance under the spotlight of a nightclub in Los Angeles. The string lights added to the mesmerizing ambiance of the urban music concert.
BLIP-2 Description:
a band performing at a nightclub with lights and string lightsChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3264w x 2448h - (download 4k)
Usage
Location:
lighting instrument urban activities theater heiner bielefeldt group device recreation musician drum spotlight indoors performing performer rock performance night crowd musical singer club guitar concert music light entertainer electrical life rock concert stage arts leisure music band art microphone electronics
iso
800
metering mode
3
aperture
f/2.2
focal length
4mm
latitude
34.09
longitude
-118.33
shutter speed
1/15s
camera make
Apple
camera model
lens model
date
2013-10-17T22:49:22.046000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(29.20%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.52%)
failure
(-1.86%)
harmonious color
(-2.28%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(-32.91%)
intrusive object presence
(-4.98%)
lively color
(-56.59%)
low light
(100.00%)
noise
(-11.06%)
pleasant camera tilt
(-8.48%)
pleasant composition
(-71.34%)
pleasant lighting
(-63.57%)
pleasant pattern
(4.49%)
pleasant perspective
(-1.24%)
pleasant post processing
(6.14%)
pleasant reflection
(0.88%)
pleasant symmetry
(0.59%)
sharply focused subject
(0.17%)
tastefully blurred
(-34.81%)
well chosen subject
(-6.27%)
well framed subject
(-39.55%)
well timed shot
(2.75%)
all
(-10.51%)
* 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
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