Photos | Pharoahe Monch on Stage
Entertainer Pharoahe Monch holds his hands up in the air during a performance at Coachella 2007 on a bright and sunny Saturday afternoon. The crowd on stage includes two guitars, a drum kit, a DJ, and eight people in total, enjoying the outdoor recreation and music.
BLIP-2 Description:
a man on stage with his hands upChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
activities boy necklace leisure baseball music speaker cap stage microphone hat musician outdoor entertainer performance sky coachella teen shorts audience helmet deejay electronics jewelry performer accessories musical instrument pharoahe monch recreation t-shirt percussion device guitar concert satruday crowd drum coachella_satruday electrical
iso
100
metering mode
5
aperture
f/2.8
exposure bias
2
focal length
34mm
shutter speed
1/640s
camera make
Canon
camera model
lens model
date
2007-04-28T12:52:16-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(54.83%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.51%)
failure
(-0.27%)
harmonious color
(4.01%)
immersiveness
(0.61%)
interaction
(1.00%)
interesting subject
(33.76%)
intrusive object presence
(-16.21%)
lively color
(-9.17%)
low light
(62.45%)
noise
(-0.73%)
pleasant camera tilt
(-3.99%)
pleasant composition
(-38.21%)
pleasant lighting
(-11.29%)
pleasant pattern
(21.34%)
pleasant perspective
(28.59%)
pleasant post processing
(5.79%)
pleasant reflection
(0.76%)
pleasant symmetry
(4.15%)
sharply focused subject
(0.88%)
tastefully blurred
(-14.56%)
well chosen subject
(-13.54%)
well framed subject
(-5.30%)
well timed shot
(30.22%)
all
(6.62%)
* 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.