Photos | K'naan Warsame steals the show at Coachella 2009

The Somali-Canadian entertainer and musician performs to a packed crowd, accompanied by his trusty guitar and a set of four microphones. Lights and spotlights add to the electric atmosphere of the concert.
BLIP-2 Description:
a man in a hat is singing on a stageMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Location:
string group jeans pants spotlight music chair footwear stage arts lamp musical instrument microphone hat performing solo musician furniture entertainer guitarist performance shoe art glasses coachella drum performer light accessories drummer k’naan warsame instrument musical recreation band percussion speakers device kit guitar concert leisure activities crowd singer electrical
iso
100
metering mode
5
aperture
f/5.6
exposure bias
1.67
focal length
33mm
shutter speed
1/60s
camera make
Canon
camera model
lens model
date
2009-04-19T16:07:18.130000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(39.06%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.55%)
failure
(-0.24%)
harmonious color
(-2.61%)
immersiveness
(0.20%)
interaction
(1.00%)
interesting subject
(26.32%)
intrusive object presence
(-13.70%)
lively color
(-22.83%)
low light
(29.57%)
noise
(-3.52%)
pleasant camera tilt
(-5.52%)
pleasant composition
(-58.98%)
pleasant lighting
(-54.35%)
pleasant pattern
(5.88%)
pleasant perspective
(12.23%)
pleasant post processing
(-0.65%)
pleasant reflection
(0.70%)
pleasant symmetry
(0.78%)
sharply focused subject
(1.34%)
tastefully blurred
(-3.68%)
well chosen subject
(-47.63%)
well framed subject
(42.60%)
well timed shot
(21.64%)
all
(-5.43%)
* 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.