Photos | Robert Smith Rocks the Stage at Coachella 2009
The crowd goes wild as Robert Smith of The Cure performs under the spotlight at Coachella 2009. With a powerful sound system of 8 speakers and dazzling lighting, the rock concert was an unforgettable experience for the 26,000 people in attendance.
BLIP-2 Description:
a band playing on stage at a concert with people watchingMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
Location:
stage coachella speakers indoors footwear musical theater concert urban part performing lighting leisure activities recreation back glasses guitar group hat speaker arts robert smith crowd musician rock hall weapon band gun light auditorium music instrument electronics performer performance art spotlight shoe accessories
iso
1600
metering mode
5
aperture
f/3.2
exposure bias
2
focal length
16mm
shutter speed
1/15s
camera make
Canon
camera model
lens model
date
2009-04-19T21:50:20.670000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(42.55%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.30%)
failure
(-0.32%)
harmonious color
(10.14%)
immersiveness
(0.17%)
interaction
(1.00%)
interesting subject
(-43.80%)
intrusive object presence
(-17.92%)
lively color
(-22.66%)
low light
(92.04%)
noise
(-2.47%)
pleasant camera tilt
(-11.66%)
pleasant composition
(-83.20%)
pleasant lighting
(-22.06%)
pleasant pattern
(2.20%)
pleasant perspective
(0.22%)
pleasant post processing
(5.59%)
pleasant reflection
(-2.57%)
pleasant symmetry
(0.29%)
sharply focused subject
(0.22%)
tastefully blurred
(-7.50%)
well chosen subject
(-2.52%)
well framed subject
(-43.43%)
well timed shot
(27.51%)
all
(-1.91%)
* 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.