Photos | Pharrell Williams Rocks the EDC Festival in Indio

Musician Pharrell Williams performs on stage at the 2016 EDC Festival, surrounded by an enthusiastic crowd and colorful spotlights, in Indio, United States.
BLIP-2 Description:
pharrell williams performs at the 2016 edc festival at the festival grounds on sundayMetadata
Capture date:
Original Dimensions:
3840w x 5760h - (download 4k)
Usage
Dominant Color:
Location:
activities spotlight urban rock leisure chris music footwear harris stage microphone hat solo performing arts musician jr entertainer guitarist saturday performance shoe art glasses coachella shorts rekognition_c performer skirt light accessories musical instrument high heel recreation lighting device guitar rock concert concert crowd electrical
iso
3200
metering mode
5
aperture
f/2.8
exposure bias
0.32999999999999996
focal length
35mm
shutter speed
1/640s
camera make
Canon
camera model
lens model
date
2014-04-12T22:40:21.130000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(39.45%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.50%)
failure
(-0.32%)
harmonious color
(4.50%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(-50.10%)
intrusive object presence
(-41.06%)
lively color
(-11.36%)
low light
(89.06%)
noise
(-3.88%)
pleasant camera tilt
(-8.47%)
pleasant composition
(-80.81%)
pleasant lighting
(-30.83%)
pleasant pattern
(4.22%)
pleasant perspective
(2.90%)
pleasant post processing
(5.77%)
pleasant reflection
(-1.04%)
pleasant symmetry
(0.56%)
sharply focused subject
(0.24%)
tastefully blurred
(-1.97%)
well chosen subject
(-9.38%)
well framed subject
(-29.79%)
well timed shot
(10.68%)
all
(-3.86%)
* 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.