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:
headgear necklace spotlight urban rock music speaker footwear stage arts microphone hat basketball performing musician guitarist julia hummer cochella performance bag shoe art friday indoors ball (ball) cord electronics theater backpack performer jewelry sport light group performance accessories musical instrument recreation band lighting device guitar concert leisure activities crowd electrical
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.