Photos | Pharoahe Monch sings his heart out at Coachella
Entertainer Pharoahe Monch holds a microphone as he performs for a crowd at Coachella. The outdoor performance featured stunning blue skies and 3 people on stage. Monch wore a white t-shirt and necklace as he dazzled the audience with his solo performance.
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:
activities pants coachella baseball cap musical t-shirt pharoahe monch electrical part leisure recreation hat necklace device sky entertainer jewelry shorts solo musician cap crowd coachella_satruday wristwatch microphone music instrument performer outdoor performance satruday singer accessories singing
iso
100
metering mode
5
aperture
f/2.8
exposure bias
1.67
focal length
70mm
shutter speed
1/800s
camera make
Canon
camera model
lens model
date
2007-04-28T12:46:28-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(61.13%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.38%)
failure
(-0.22%)
harmonious color
(3.13%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(58.45%)
intrusive object presence
(-43.53%)
lively color
(0.24%)
low light
(26.71%)
noise
(-0.54%)
pleasant camera tilt
(-4.08%)
pleasant composition
(-18.96%)
pleasant lighting
(-4.30%)
pleasant pattern
(11.57%)
pleasant perspective
(17.48%)
pleasant post processing
(3.54%)
pleasant reflection
(0.58%)
pleasant symmetry
(2.08%)
sharply focused subject
(3.66%)
tastefully blurred
(13.35%)
well chosen subject
(3.08%)
well framed subject
(75.34%)
well timed shot
(28.03%)
all
(8.78%)
* 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.