Photos | Rocking out at Coachella 2009
A sea of people gather atop the fence at Coachella 2009 to watch a thrilling musical performance by Michael White and Pokras Lampas. The speakers, lights, and spotlight add to the electrifying atmosphere of the concert.
BLIP-2 Description:
a large crowd of people are watching a band performChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
lighting instrument speaker activities theater group pokras device recreation musician coachella spotlight indoors accessories performer rock performance auditorium lampas glasses footwear crowd guitarist musical guitar concert audience music michael white light mobile phone electrical speakers hall stage leisure music band hat fence microphone electronics shoe
iso
800
metering mode
5
aperture
f/4.5
exposure bias
1
focal length
16mm
shutter speed
1/125s
camera make
Canon
camera model
lens model
date
2009-04-17T13:08:57.850000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(36.55%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.39%)
failure
(-0.24%)
harmonious color
(-2.60%)
immersiveness
(1.49%)
interaction
(1.00%)
interesting subject
(-30.93%)
intrusive object presence
(-11.43%)
lively color
(-16.50%)
low light
(52.25%)
noise
(-1.61%)
pleasant camera tilt
(-11.23%)
pleasant composition
(-73.00%)
pleasant lighting
(-41.60%)
pleasant pattern
(15.50%)
pleasant perspective
(6.12%)
pleasant post processing
(-1.41%)
pleasant reflection
(-0.77%)
pleasant symmetry
(1.12%)
sharply focused subject
(0.15%)
tastefully blurred
(-4.98%)
well chosen subject
(1.34%)
well framed subject
(-49.15%)
well timed shot
(-1.28%)
all
(-5.73%)
* 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.