Photos | The Thrilling Coachella Performance on the Big Screen
Yolandi Visser captivates the crowd as they gather to watch her electrifying Coachella concert on the massive screen.
BLIP-2 Description:
a crowd of people watching a concert on a large screenChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
bracelet activities spotlight urban rock leisure music speaker footwear chair mobile stage arts lamp hat performing musician furniture saturday performance shoe art hardware machine camera hall indoors coachella audience life electronics theater jewelry screen performer light group performance accessories auditorium monitor musical night instrument recreation band yolandi visser speakers lighting phone rock concert concert computer crowd
iso
3200
metering mode
5
aperture
f/2.8
exposure bias
0.32999999999999996
focal length
17mm
shutter speed
1/1250s
camera make
Canon
camera model
lens model
date
2010-04-17T23:59:23.760000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(36.69%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.48%)
failure
(-0.59%)
harmonious color
(-0.14%)
immersiveness
(0.78%)
interaction
(1.00%)
interesting subject
(-28.44%)
intrusive object presence
(-16.89%)
lively color
(-8.94%)
low light
(98.54%)
noise
(-3.47%)
pleasant camera tilt
(-10.57%)
pleasant composition
(-82.62%)
pleasant lighting
(-44.21%)
pleasant pattern
(13.01%)
pleasant perspective
(-5.77%)
pleasant post processing
(-1.72%)
pleasant reflection
(1.41%)
pleasant symmetry
(0.73%)
sharply focused subject
(0.24%)
tastefully blurred
(-2.47%)
well chosen subject
(3.93%)
well framed subject
(-56.98%)
well timed shot
(2.43%)
all
(-6.49%)
* 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.