Photos | Man on Stage with Microphone at 2010 Cochella Friday Concert
A male performer commands the spotlight on stage, wearing a hat and holding a microphone while the crowd looks on at the 2010 Cochella Friday concert.
BLIP-2 Description:
a man on stage with a microphone and a microphoneChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
lighting instrument speaker urban theater band julia hummer device recreation musician cochella spotlight indoors bag accessories cord performer performing rock jewelry performance sport footwear basketball crowd guitarist musical backpack friday leisure activities guitar concert music light ball electrical headgear stage arts hat art (ball) microphone group performance electronics necklace shoe
iso
1600
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/30s
camera make
Canon
camera model
lens model
date
2010-04-16T20:41:16.180000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(45.63%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.52%)
failure
(-0.66%)
harmonious color
(4.83%)
immersiveness
(0.81%)
interaction
(1.00%)
interesting subject
(-20.04%)
intrusive object presence
(-9.38%)
lively color
(-21.44%)
low light
(94.53%)
noise
(-1.15%)
pleasant camera tilt
(-10.76%)
pleasant composition
(-64.16%)
pleasant lighting
(-23.45%)
pleasant pattern
(9.57%)
pleasant perspective
(1.83%)
pleasant post processing
(-2.09%)
pleasant reflection
(-1.93%)
pleasant symmetry
(1.42%)
sharply focused subject
(0.56%)
tastefully blurred
(-10.11%)
well chosen subject
(-12.51%)
well framed subject
(-34.55%)
well timed shot
(8.39%)
all
(-2.73%)
* 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.