Photos | Pharoahe Monch Shines on Coachella Saturday
Entertainer Pharoahe Monch takes center stage, microphone in hand and surrounded by nature, during his lively performance at Coachella 2007. The outdoor concert is a favorite pastime for music lovers and recreation enthusiasts alike.
BLIP-2 Description:
a man in a white shirt is holding a microphoneChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
necklace plant singing music speaker stage microphone solo tree musician outdoor entertainer performance sky hardware coachella shorts electronics jewelry performer screen accessories musical monitor instrument pharoahe monch recreation t-shirt device part computer leisure activities satruday crowd 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
2007-04-28T12:48:34-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(57.37%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.45%)
failure
(-0.27%)
harmonious color
(3.16%)
immersiveness
(0.39%)
interaction
(1.00%)
interesting subject
(45.58%)
intrusive object presence
(-28.37%)
lively color
(-4.36%)
low light
(10.11%)
noise
(-0.54%)
pleasant camera tilt
(-3.83%)
pleasant composition
(-31.93%)
pleasant lighting
(-13.10%)
pleasant pattern
(10.77%)
pleasant perspective
(15.95%)
pleasant post processing
(3.51%)
pleasant reflection
(0.97%)
pleasant symmetry
(2.83%)
sharply focused subject
(1.86%)
tastefully blurred
(9.74%)
well chosen subject
(-15.50%)
well framed subject
(56.49%)
well timed shot
(31.32%)
all
(5.97%)
* 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,
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