Photos | The Gaslamp Killer Thrills the Crowd with Violin Duet

The Gaslamp Killer captivates the audience at Coachella with a dynamic performance featuring a duet of violins played by two talented musicians. The energetic lighting and booming speakers add to the atmosphere of this unforgettable music experience.
BLIP-2 Description:
a man playing a violin on stage with a woman and a manMetadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Dominant Color:
string activities spotlight urban rock leisure music speaker footwear stage musical instrument performing arts musician entertainer guitarist performance shoe the gaslamp killer art indoors coachella electronics theater performer light group performance musical instrument recreation band speakers lighting guitar concert violin crowd singer
iso
1600
metering mode
5
aperture
f/2.8
focal length
35mm
shutter speed
1/40s
camera make
Canon
camera model
lens model
date
2015-04-11T20:34:10.250000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(41.04%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.47%)
failure
(-0.37%)
harmonious color
(1.39%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(4.60%)
intrusive object presence
(-9.33%)
lively color
(-35.67%)
low light
(97.07%)
noise
(-5.25%)
pleasant camera tilt
(-7.36%)
pleasant composition
(-60.79%)
pleasant lighting
(-39.01%)
pleasant pattern
(3.66%)
pleasant perspective
(2.68%)
pleasant post processing
(0.26%)
pleasant reflection
(-3.67%)
pleasant symmetry
(0.49%)
sharply focused subject
(0.42%)
tastefully blurred
(-16.28%)
well chosen subject
(-5.31%)
well framed subject
(-20.37%)
well timed shot
(24.49%)
all
(-3.80%)
* 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.