Photos | Pharoahe Monch rocks the stage
Entertainer Pharoahe Monch wearing a white tank top and shorts sings to a packed crowd at Coachella Saturday in 2007. He accessorizes with a necklace and bracelets as he performs with two microphones and three speakers.
BLIP-2 Description:
a man in a white tank top and white shorts is singingChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
bracelet activities necklace pants leisure baseball music speaker keyboard cap stage microphone hat musician entertainer performance shirt coachella shorts pc electronics jewelry performer accessories musical instrument pharoahe monch recreation speakers laptop device computer satruday crowd undershirt 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
2007-04-28T12:56:13-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(52.59%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.52%)
failure
(-0.17%)
harmonious color
(0.79%)
immersiveness
(0.20%)
interaction
(1.00%)
interesting subject
(21.79%)
intrusive object presence
(-30.15%)
lively color
(-2.84%)
low light
(27.51%)
noise
(-0.34%)
pleasant camera tilt
(-5.20%)
pleasant composition
(-61.18%)
pleasant lighting
(-10.44%)
pleasant pattern
(6.01%)
pleasant perspective
(16.09%)
pleasant post processing
(-0.69%)
pleasant reflection
(-2.69%)
pleasant symmetry
(3.25%)
sharply focused subject
(1.34%)
tastefully blurred
(7.67%)
well chosen subject
(-13.53%)
well framed subject
(47.78%)
well timed shot
(38.28%)
all
(3.55%)
* 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.