Photos | Music Band at Coachella 2009

Tunde Adebimpe and his group of musicians perform on stage at Coachella 2009, captivating the crowd with their musical brilliance and impressive light show.
BLIP-2 Description:
a group of musicians on stage at a concertMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
string group activities spotlight urban leisure music speaker keyboard eos stage section arts musical instrument microphone horn performing musician outdoor entertainer performance sky saxophone art ii tunde adebimpe glasses coachella brass mark electronics performer light camping accessories musical instrument recreation band april spring speakers canon lighting device guitar concert crowd singer piano electrical
iso
1600
metering mode
5
aperture
f/5.6
exposure bias
0.32999999999999996
focal length
27mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2009-04-18T18:03:10.940000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(48.71%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.46%)
failure
(-0.17%)
harmonious color
(0.68%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(38.75%)
intrusive object presence
(-33.81%)
lively color
(-12.88%)
low light
(66.60%)
noise
(-1.98%)
pleasant camera tilt
(-7.59%)
pleasant composition
(-65.23%)
pleasant lighting
(-9.95%)
pleasant pattern
(3.39%)
pleasant perspective
(28.05%)
pleasant post processing
(-1.13%)
pleasant reflection
(-2.90%)
pleasant symmetry
(3.88%)
sharply focused subject
(1.46%)
tastefully blurred
(-6.71%)
well chosen subject
(2.74%)
well framed subject
(6.49%)
well timed shot
(30.93%)
all
(3.16%)
* 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.