Photos | Rocking the Stage at Coachella

Elliot Giles, Bree Munro, and Tewfik Jallab electrify the crowd with their performance at Coachella 2009. The spotlight, speakers, and energetic crowd make for an unforgettable night of music and recreation.
BLIP-2 Description:
a man on stage with a microphone in front of a crowdMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
bracelet activities elliot giles spotlight urban rock leisure music speaker footwear stage hat munro crowd musician bree tennis performance shoe bag hall glasses indoors tewfik jallab audience coachella electronics theater jewelry performer sport light group performance accessories camping musical instrument recreation band speakers concert handbag racket
iso
1600
metering mode
5
aperture
f/8
focal length
16mm
shutter speed
1/60s
camera make
Canon
camera model
lens model
date
2009-04-18T16:40:13.980000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(32.03%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.52%)
failure
(-0.68%)
harmonious color
(-1.48%)
immersiveness
(0.56%)
interaction
(1.00%)
interesting subject
(-24.65%)
intrusive object presence
(-14.99%)
lively color
(-12.51%)
low light
(35.69%)
noise
(-2.20%)
pleasant camera tilt
(-8.70%)
pleasant composition
(-83.15%)
pleasant lighting
(-49.17%)
pleasant pattern
(12.16%)
pleasant perspective
(0.95%)
pleasant post processing
(2.08%)
pleasant reflection
(-0.10%)
pleasant symmetry
(1.05%)
sharply focused subject
(0.22%)
tastefully blurred
(-19.52%)
well chosen subject
(-7.23%)
well framed subject
(-55.37%)
well timed shot
(7.25%)
all
(-7.02%)
* 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.