Photos | Rockin' the Coachella Stage
PV Nova and Robert Smith light up the stage with their awe-inspiring performance at Coachella 2009. The crowd was electric as 24 people, 11 speakers, and 2 guitars filled the auditorium with electrifying music.
BLIP-2 Description:
a concert stage with people on stage and lightsChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Location:
stage activities coachella footwear musical april theater concert electrical urban canon performing leisure lighting recreation pv nova glasses guitar bag hat speaker device shoe arts handbag crowd musician rock group performance smith eos hall band light auditorium robert music microphone spring instrument electronics performer performance art ii mark spotlight indoors accessories
iso
1600
metering mode
5
aperture
f/3.2
exposure bias
2
focal length
16mm
shutter speed
1/30s
camera make
Canon
camera model
lens model
date
2009-04-19T21:50:22.390000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(43.21%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.29%)
failure
(-0.66%)
harmonious color
(10.51%)
immersiveness
(0.34%)
interaction
(1.00%)
interesting subject
(-26.37%)
intrusive object presence
(-19.26%)
lively color
(-14.81%)
low light
(99.80%)
noise
(-8.35%)
pleasant camera tilt
(-8.74%)
pleasant composition
(-73.14%)
pleasant lighting
(-29.69%)
pleasant pattern
(3.22%)
pleasant perspective
(3.73%)
pleasant post processing
(7.39%)
pleasant reflection
(0.75%)
pleasant symmetry
(0.51%)
sharply focused subject
(0.27%)
tastefully blurred
(-4.80%)
well chosen subject
(-8.53%)
well framed subject
(-40.19%)
well timed shot
(30.91%)
all
(-0.59%)
* 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.