Photos | Pharoahe Monch Rocks Coachella Stage

Musician Pharoahe Monch performs for a lively outdoor crowd, surrounded by plants and trees while singing into his mic, with three speakers blasting his sound out to the audience at the 2007 Coachella Saturday concert.
BLIP-2 Description:
a man is singing on stage at a concertMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
speech activities necklace plant singing leisure baseball music speaker keyboard cap stage microphone hat solo tree musician outdoor performance sky shirt glasses coachella audience shorts electronics jewelry performer accessories musical instrument pharoahe monch recreation percussion speakers device part guitar concert satruday crowd drum piano coachella_satruday electrical
iso
100
metering mode
5
aperture
f/2.8
exposure bias
2
focal length
70mm
shutter speed
1/640s
camera make
Canon
camera model
lens model
date
2007-04-28T12:53:26-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(59.77%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.58%)
failure
(-0.15%)
harmonious color
(1.67%)
immersiveness
(0.44%)
interaction
(1.00%)
interesting subject
(58.69%)
intrusive object presence
(-40.70%)
lively color
(0.53%)
low light
(9.91%)
noise
(-0.51%)
pleasant camera tilt
(-3.81%)
pleasant composition
(-44.63%)
pleasant lighting
(-9.34%)
pleasant pattern
(11.74%)
pleasant perspective
(17.40%)
pleasant post processing
(5.95%)
pleasant reflection
(3.60%)
pleasant symmetry
(2.00%)
sharply focused subject
(1.20%)
tastefully blurred
(0.23%)
well chosen subject
(-25.81%)
well framed subject
(39.75%)
well timed shot
(41.50%)
all
(6.65%)
* 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.