Photos | Stage Spotlight: Professor Griff, Disc Jockey Lord, Khari Wynn Perform for Coachella Crowd

The energy of the crowd and the sound of the speakers filled the air as Professor Griff, Disc Jockey Lord, and Khari Wynn took to the stage at Coachella 2009.
BLIP-2 Description:
a man on stage with a microphone and a crowd watchingMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Location:
lighting instrument speaker urban jockey activities theater band glove group baby recreation part musician coachella spotlight back indoors accessories bag performer rock khari wynn performance disc glasses footwear crowd guitarist night life musical guitar concert audience music light professor griff speakers handbag stage leisure hat art performing arts lord electronics shoe
iso
1600
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/125s
camera make
Canon
camera model
lens model
date
2009-04-19T20:23:23.180000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(40.14%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.46%)
failure
(-0.63%)
harmonious color
(0.03%)
immersiveness
(0.27%)
interaction
(1.00%)
interesting subject
(-29.22%)
intrusive object presence
(-9.69%)
lively color
(-21.77%)
low light
(98.44%)
noise
(-2.39%)
pleasant camera tilt
(-8.91%)
pleasant composition
(-81.54%)
pleasant lighting
(-41.63%)
pleasant pattern
(6.86%)
pleasant perspective
(-0.83%)
pleasant post processing
(2.73%)
pleasant reflection
(-0.26%)
pleasant symmetry
(1.03%)
sharply focused subject
(0.27%)
tastefully blurred
(-12.76%)
well chosen subject
(8.06%)
well framed subject
(-50.68%)
well timed shot
(5.38%)
all
(-5.80%)
* 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.