Photos | David Jude Jolicoeur performing on Coachella Sunday
Entertainer David Jude Jolicoeur rocks the stage in a purple t-shirt and cord bracelet while surrounded by electronics and four powerful speakers, under a vibrant blue sky at Coachella 2010.
BLIP-2 Description:
a man in a purple shirt standing on stageChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
bracelet activities jeans sunday pants david jude jolicoeur artist baseball leisure baton music speaker keyboard cap stage microphone wristwatch hat musician problem outdoor entertainer performance sky coachella shorts deejay cord electronics performer jewelry accessories musical instrument recreation stick t-shirt speakers device concert crowd proud piano electrical
iso
400
metering mode
5
aperture
f/5.6
focal length
34mm
shutter speed
1/800s
camera make
Canon
camera model
lens model
date
2010-04-18T16:28:30.280000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(44.21%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.55%)
failure
(-0.42%)
harmonious color
(-1.48%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(14.97%)
intrusive object presence
(-17.90%)
lively color
(-6.05%)
low light
(53.37%)
noise
(-3.61%)
pleasant camera tilt
(-2.96%)
pleasant composition
(-40.58%)
pleasant lighting
(-22.75%)
pleasant pattern
(6.40%)
pleasant perspective
(7.58%)
pleasant post processing
(-0.49%)
pleasant reflection
(-0.91%)
pleasant symmetry
(0.59%)
sharply focused subject
(2.12%)
tastefully blurred
(-3.69%)
well chosen subject
(-49.32%)
well framed subject
(40.67%)
well timed shot
(13.72%)
all
(-1.09%)
* 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.