Photos | Coachella 2008: Music Takes Over the Stage!

A performer takes the stage at Coachella 2008, captivating the crowd with his electrifying performance. The blue sky and scenic hill make for the perfect backdrop for an outdoor concert.
BLIP-2 Description:
a man on stage with a microphone and a crowd watchingMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
activities urban leisure music speaker footwear stage microphone hat tent musician furniture outdoor rug performance hill sky shoe land glove hardware desk glasses coachella shorts construction cord electronics performer screen p. t. usha group performance accessories table monitor musical instrument recreation band speakers home device part decor guitar back concert computer crowd construction crane electrical
iso
100
metering mode
5
aperture
f/9
focal length
16mm
shutter speed
1/160s
camera make
Canon
camera model
lens model
date
2008-04-26T12:41:58-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(31.88%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.64%)
failure
(-0.20%)
harmonious color
(-1.41%)
immersiveness
(0.51%)
interaction
(1.00%)
interesting subject
(-53.56%)
intrusive object presence
(-12.33%)
lively color
(-1.35%)
low light
(0.85%)
noise
(-0.66%)
pleasant camera tilt
(-9.22%)
pleasant composition
(-85.50%)
pleasant lighting
(-27.08%)
pleasant pattern
(3.69%)
pleasant perspective
(3.56%)
pleasant post processing
(-3.46%)
pleasant reflection
(-1.14%)
pleasant symmetry
(0.39%)
sharply focused subject
(0.44%)
tastefully blurred
(-1.11%)
well chosen subject
(-15.88%)
well framed subject
(-49.66%)
well timed shot
(10.49%)
all
(-5.29%)
* 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.