Photos | Rockin' the Stage: An Entertainer's Spotlight

A performer takes center stage at Coachella 2009, surrounded by a crowd of music lovers and illuminated by vibrant lighting.
BLIP-2 Description:
a man on stage with a microphoneMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
Location:
lighting instrument professor speaker urban activities theater band glove device recreation miranda miller musician coachella spotlight indoors accessories performer rock jewelry performance night glasses wafaa footwear crowd musical instrument musical guitar concert audience music griff light sadr entertainer el electrical speakers life rock concert bracelet disc jockey lord stage leisure hat art performing arts microphone group performance electronics shoe
iso
1600
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/800s
camera make
Canon
camera model
lens model
date
2009-04-19T20:23:16.020000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(40.82%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.56%)
failure
(-0.59%)
harmonious color
(2.15%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(-25.56%)
intrusive object presence
(-12.74%)
lively color
(-25.05%)
low light
(99.90%)
noise
(-1.98%)
pleasant camera tilt
(-10.66%)
pleasant composition
(-83.94%)
pleasant lighting
(-56.84%)
pleasant pattern
(6.01%)
pleasant perspective
(-1.39%)
pleasant post processing
(2.70%)
pleasant reflection
(-0.59%)
pleasant symmetry
(0.66%)
sharply focused subject
(0.17%)
tastefully blurred
(-13.92%)
well chosen subject
(4.27%)
well framed subject
(-49.51%)
well timed shot
(6.55%)
all
(-7.40%)
* 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.