Photos | Pharoahe Monch rocks Coachella stage
Entertainer Pharoahe Monch captivates the crowd with his solo performance and powerful vocals, backed by the beautiful outdoor sky. The microphone and electrical devices perfectly capture every note as he holds the crowd in the palm of his hand.
BLIP-2 Description:
a man in a white shirt is singing into a microphoneChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
necklace singing baseball music eos cap stage microphone hat solo musician outdoor entertainer performance sky coachella shorts performer jewelry accessories musical instrument pharoahe monch recreation april spring t-shirt canon device part concert leisure activities satruday crowd undershirt coachella_satruday electrical
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
2007-04-28T12:45:05-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(55.62%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.34%)
failure
(-0.24%)
harmonious color
(3.13%)
immersiveness
(0.20%)
interaction
(1.00%)
interesting subject
(48.12%)
intrusive object presence
(-49.27%)
lively color
(-7.70%)
low light
(21.63%)
noise
(-0.59%)
pleasant camera tilt
(-4.40%)
pleasant composition
(-25.00%)
pleasant lighting
(-6.82%)
pleasant pattern
(8.20%)
pleasant perspective
(19.32%)
pleasant post processing
(4.89%)
pleasant reflection
(0.10%)
pleasant symmetry
(2.44%)
sharply focused subject
(2.47%)
tastefully blurred
(7.17%)
well chosen subject
(-4.02%)
well framed subject
(70.17%)
well timed shot
(34.06%)
all
(7.52%)
* 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.