Photos | Pharoahe Monch Rocking Coachella Stage

Singer Pharoahe Monch performs with passion and energy on stage, surrounded by microphones, speakers, and the scenic outdoor stage at Coachella in 2007.
BLIP-2 Description:
a man in a white shirt is singing on stageMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
string activities boy necklace plant singing leisure music speaker cap stage arts microphone musical instrument hat performing crowd tree musician entertainer baseball cap performance art shirt coachella teen shorts audience electronics drum jewelry performer accessories drummer musical instrument pharoahe monch recreation percussion speakers device part guitar concert satruday solo performance singer 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
2007-04-28T12:52:20-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(50.98%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.50%)
failure
(-0.24%)
harmonious color
(0.21%)
immersiveness
(0.59%)
interaction
(1.00%)
interesting subject
(39.04%)
intrusive object presence
(-21.75%)
lively color
(-5.06%)
low light
(14.11%)
noise
(-0.68%)
pleasant camera tilt
(-5.58%)
pleasant composition
(-49.61%)
pleasant lighting
(-18.53%)
pleasant pattern
(17.14%)
pleasant perspective
(11.99%)
pleasant post processing
(-0.40%)
pleasant reflection
(-0.33%)
pleasant symmetry
(3.54%)
sharply focused subject
(1.51%)
tastefully blurred
(-0.62%)
well chosen subject
(-28.00%)
well framed subject
(26.32%)
well timed shot
(25.66%)
all
(2.06%)
* 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.