Photos | David Draiman and Band Rock Coachella Stage
David Draiman of Disturbed fame and the band perform to an enthusiastic crowd at Coachella on Friday. The light of the performance shines bright under the open sky, accompanied by speakers, electronics, and a laptop on stage.
BLIP-2 Description:
a man on stage with a microphone and a band behind himChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
group activities coachella_friday spotlight leisure music speaker stage music band microphone musician outdoor performance sky draiman glasses friday coachella pc rekognition_c electronics performer light accessories musical instrument david recreation speakers laptop device toki wright concert computer crowd electrical
iso
100
metering mode
5
aperture
f/2.8
exposure bias
1.67
focal length
27mm
shutter speed
1/800s
camera make
Canon
camera model
lens model
date
2007-04-27T14:03:07-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(48.90%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.57%)
failure
(-0.10%)
harmonious color
(1.14%)
immersiveness
(0.34%)
interaction
(1.00%)
interesting subject
(34.55%)
intrusive object presence
(-19.53%)
lively color
(-3.40%)
low light
(28.74%)
noise
(-0.32%)
pleasant camera tilt
(-7.40%)
pleasant composition
(-57.71%)
pleasant lighting
(-27.81%)
pleasant pattern
(10.91%)
pleasant perspective
(25.63%)
pleasant post processing
(-0.47%)
pleasant reflection
(1.77%)
pleasant symmetry
(4.39%)
sharply focused subject
(0.32%)
tastefully blurred
(-6.09%)
well chosen subject
(-7.02%)
well framed subject
(-5.47%)
well timed shot
(26.44%)
all
(2.37%)
* 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.