Photos | Musician captivates the Coachella crowd

Black Thought performs on stage with Captain Douglas, singing into two microphones and captivating the crowd with his musical talents against the backdrop of blue skies, palm trees, and lush plants at Coachella Sunday in 2007.
BLIP-2 Description:
a man in a baseball cap is singing into a microphoneMetadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
group activities sunday necklace plant leisure baseball music cap music band microphone wristwatch hat tree musician outdoor entertainer douglas performance sky coachella_sunday coachella drum jewelry performer accessories drummer musical instrument black thought recreation percussion device palm guitar concert crowd singer captain electrical
iso
100
metering mode
5
aperture
f/2.8
exposure bias
2
focal length
80mm
shutter speed
1/1000s
camera make
Canon
camera model
lens model
date
2007-04-29T16:24:12-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(59.67%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.68%)
failure
(-0.22%)
harmonious color
(9.77%)
immersiveness
(0.22%)
interaction
(1.00%)
interesting subject
(20.61%)
intrusive object presence
(-8.37%)
lively color
(11.55%)
low light
(2.51%)
noise
(-0.39%)
pleasant camera tilt
(-6.67%)
pleasant composition
(-29.05%)
pleasant lighting
(5.21%)
pleasant pattern
(5.64%)
pleasant perspective
(13.00%)
pleasant post processing
(11.68%)
pleasant reflection
(-2.04%)
pleasant symmetry
(0.44%)
sharply focused subject
(2.98%)
tastefully blurred
(21.25%)
well chosen subject
(21.80%)
well framed subject
(21.55%)
well timed shot
(16.87%)
all
(9.28%)
* 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.