Photos | K'naan Warsame and Band Rock Coachella 2009
K'naan Warsame and his band electrify the crowd under a tent at Coachella 2009, with two guitars, two microphones, and three speakers on stage. The audience of 20 people watch in awe as the musicians perform their hit songs in shorts and T-shirts, surrounded by the mesmerizing lighting.
BLIP-2 Description:
a band playing on stage under a tent with people watchingChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
Location:
art instrument recreation music glasses musician footwear performing leisure coachella activities shorts musical piano keyboard entertainer arts device band concert performer stage lighting electronics shoe k’naan warsame microphone wristwatch performance guitar speaker group hat speakers accessories indoors electrical crowd
iso
100
metering mode
5
aperture
f/5.6
exposure bias
1
focal length
16mm
shutter speed
1/80s
camera make
Canon
camera model
lens model
overall
(45.90%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.35%)
failure
(-0.34%)
harmonious color
(-0.11%)
immersiveness
(0.90%)
interaction
(1.00%)
interesting subject
(6.36%)
intrusive object presence
(-9.18%)
lively color
(-15.83%)
low light
(93.16%)
noise
(-1.25%)
pleasant camera tilt
(-5.93%)
pleasant composition
(-48.75%)
pleasant lighting
(-49.83%)
pleasant pattern
(10.96%)
pleasant perspective
(11.35%)
pleasant post processing
(-0.27%)
pleasant reflection
(3.51%)
pleasant symmetry
(2.71%)
sharply focused subject
(0.29%)
tastefully blurred
(-12.74%)
well chosen subject
(-16.93%)
well framed subject
(-15.71%)
well timed shot
(4.30%)
all
(-3.11%)
* 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.