Photos | Music Madness at Coachella
Zosia Mamet and David Jude Jolicoeur join the ecstatic crowd at the 2010 Coachella Sunday concert, surrounded by speakers, lights, and a stunning blue sky. #Concert #Crowd #Performance #Music #Outdoor
BLIP-2 Description:
a crowd of people at a concertChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
group activities sunday david jude jolicoeur spotlight urban leisure fence music speaker footwear festival stage music band lamp hat wristwatch zosia musician outdoor performance sky shoe bag land glasses coachella audience helmet rekognition_c electronics grass performer light accessories musical instrument mamet recreation handbag speakers concert crowd
iso
400
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/8000s
camera make
Canon
camera model
lens model
date
2010-04-18T16:25:54.980000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(36.84%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.67%)
failure
(-0.20%)
harmonious color
(1.74%)
immersiveness
(0.66%)
interaction
(1.00%)
interesting subject
(-9.13%)
intrusive object presence
(-30.05%)
lively color
(-1.19%)
low light
(1.20%)
noise
(-0.83%)
pleasant camera tilt
(-13.68%)
pleasant composition
(-90.23%)
pleasant lighting
(-32.93%)
pleasant pattern
(3.20%)
pleasant perspective
(7.48%)
pleasant post processing
(0.48%)
pleasant reflection
(1.19%)
pleasant symmetry
(0.42%)
sharply focused subject
(0.15%)
tastefully blurred
(-12.02%)
well chosen subject
(9.67%)
well framed subject
(-46.58%)
well timed shot
(20.64%)
all
(-2.97%)
* 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.