Photos | Slash Shreds the Stage at Coachella
Guitar extraordinaire Slash delivers an electrifying solo performance, complete with his signature top hat and rockstar tattoos, at Coachella 2016. The crowd can't get enough of his musical prowess and signature 3-ring jewelry.
BLIP-2 Description:
slash, the rock and roll hall of fame inductee, performs at the rock and rollMetadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Dominant Color:
activities coachella tattoo musical concert electrical performing arts leisure lighting recreation guitar hat necklace device skin jewelry string crowd musician rock wristwatch electric headgear light music microphone instrument slash performer ring performance guitarist art solo performance saturday spotlight stage accessories
iso
3200
metering mode
5
aperture
f/4
exposure bias
0.32999999999999996
focal length
600mm
shutter speed
1/320s
camera make
Canon
camera model
lens model
date
2016-04-16T23:20:20-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(68.70%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.59%)
failure
(-0.15%)
harmonious color
(16.09%)
immersiveness
(0.17%)
interaction
(1.00%)
interesting subject
(78.08%)
intrusive object presence
(-5.86%)
lively color
(3.12%)
low light
(93.21%)
noise
(-5.15%)
pleasant camera tilt
(0.78%)
pleasant composition
(32.40%)
pleasant lighting
(22.52%)
pleasant pattern
(3.64%)
pleasant perspective
(21.19%)
pleasant post processing
(3.70%)
pleasant reflection
(-0.70%)
pleasant symmetry
(0.78%)
sharply focused subject
(9.35%)
tastefully blurred
(21.19%)
well chosen subject
(16.61%)
well framed subject
(72.12%)
well timed shot
(52.88%)
all
(19.39%)
* 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,
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