Photos | Sampha's Striking Performance on the Keyboard

Sampha captivates the crowd with his electrifying performance on the keyboard at Coachella 2017. The spotlight highlights his talent as he plays amidst the glowing speakers and dynamic lighting.
BLIP-2 Description:
a man on stage with a keyboardMetadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Dominant Color:
string group activities spotlight urban rock leisure music speaker footwear keyboard stage sampha arts musical instrument microphone performing musician entertainer guitarist performance shoe art coachella electronics performer light solo performance drummer musical instrument recreation band percussion speakers lighting device guitar rock concert concert crowd drum piano electrical
iso
800
metering mode
5
aperture
f/2.8
exposure bias
3.3299999999999996
focal length
90mm
shutter speed
1/80s
camera make
Canon
camera model
lens model
date
2017-04-14T16:30:16.670000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(69.73%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.53%)
failure
(-0.46%)
harmonious color
(15.11%)
immersiveness
(0.44%)
interaction
(1.00%)
interesting subject
(56.20%)
intrusive object presence
(-11.21%)
lively color
(-31.88%)
low light
(80.91%)
noise
(-1.66%)
pleasant camera tilt
(-3.45%)
pleasant composition
(2.09%)
pleasant lighting
(-0.18%)
pleasant pattern
(5.81%)
pleasant perspective
(17.46%)
pleasant post processing
(17.19%)
pleasant reflection
(-2.66%)
pleasant symmetry
(1.78%)
sharply focused subject
(4.42%)
tastefully blurred
(25.49%)
well chosen subject
(0.13%)
well framed subject
(48.61%)
well timed shot
(25.68%)
all
(10.86%)
* 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.