Photos | Mick Thomson Lights Up Coachella Crowd with His Performance
Mick Thomson sings confidently into the microphone, electrifying the crowd with his stunning performance at the 2007 Coachella Friday concert.
BLIP-2 Description:
a man in a yellow shirt is singing into a microphoneChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
activities coachella_friday urban rock singing leisure music speaker stage microphone performing arts musician entertainer performance art club glasses indoors coachella friday pc life electronics theater performer solo performance accessories group performance musical instrument night recreation band lighting laptop device part concert computer mick thomson crowd singer dancing electrical
iso
1600
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2007-04-27T19:28:09-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(33.94%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.48%)
failure
(-1.64%)
harmonious color
(-0.44%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(12.77%)
intrusive object presence
(-35.33%)
lively color
(-20.58%)
low light
(99.56%)
noise
(-7.71%)
pleasant camera tilt
(-3.75%)
pleasant composition
(-66.11%)
pleasant lighting
(-50.88%)
pleasant pattern
(3.52%)
pleasant perspective
(-2.94%)
pleasant post processing
(-5.87%)
pleasant reflection
(3.32%)
pleasant symmetry
(0.37%)
sharply focused subject
(0.71%)
tastefully blurred
(-24.73%)
well chosen subject
(-14.44%)
well framed subject
(19.54%)
well timed shot
(7.45%)
all
(-7.27%)
* 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.