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:
instrument speaker cap activities laptop undershirt device recreation musician coachella pharoahe monch pc accessories shirt performer baseball jewelry performance pants crowd coachella_satruday musical music shorts satruday entertainer piano computer speakers electrical bracelet stage leisure hat microphone keyboard electronics necklace
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.