Photos | Brother Ali Takes the Coachella Stage by Storm

Brother Ali performs a riveting set at Coachella 2007, entertaining the crowd with his powerful voice and dynamic stage presence. Against the backdrop of palm trees and speakers, he delivers a memorable performance that showcases his talent as a musician and performer.
BLIP-2 Description:
a man is singing on stageMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
group activities coachella_friday plant leisure music speaker cap stage brother ali musical instrument hat wristwatch microphone tree musician entertainer baseball cap performance camera glasses friday coachella pc palm tree electronics performer accessories recreation band speakers laptop device guitar concert computer crowd electrical
iso
100
metering mode
5
aperture
f/2.8
exposure bias
1.67
focal length
45mm
shutter speed
1/1250s
camera make
Canon
camera model
lens model
date
2007-04-27T14:03:20-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(48.54%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.48%)
failure
(-0.07%)
harmonious color
(-1.23%)
immersiveness
(0.10%)
interaction
(1.00%)
interesting subject
(40.48%)
intrusive object presence
(-25.46%)
lively color
(-6.70%)
low light
(19.70%)
noise
(-0.56%)
pleasant camera tilt
(-6.68%)
pleasant composition
(-75.20%)
pleasant lighting
(-29.54%)
pleasant pattern
(4.22%)
pleasant perspective
(20.97%)
pleasant post processing
(1.01%)
pleasant reflection
(0.86%)
pleasant symmetry
(1.03%)
sharply focused subject
(0.29%)
tastefully blurred
(-7.18%)
well chosen subject
(-11.47%)
well framed subject
(5.62%)
well timed shot
(49.15%)
all
(1.64%)
* 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.