Photos | Cowboy Hat on Coachella Stage

Pharrell Williams dons a cowboy hat while performing on stage at Coachella 2014. The energetic performer entertained the crowd with his popular music amidst the bright lights, speakers, and cheering crowd.
BLIP-2 Description:
a man in a cowboy hat on stage with a microphoneMetadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Location:
group activities headgear spotlight urban rock leisure music footwear stage music band microphone wristwatch hat performing arts musician entertainer guitarist saturday performance shoe art pharrell williams glasses indoors coachella shorts theater performer light accessories musical instrument recreation speakers lighting device guitar concert crowd singer electrical
iso
3200
metering mode
5
aperture
f/2.8
exposure bias
0.32999999999999996
focal length
35mm
shutter speed
1/1250s
camera make
Canon
camera model
lens model
date
2014-04-12T22:40:10.310000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(41.80%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.54%)
failure
(-1.00%)
harmonious color
(1.56%)
immersiveness
(0.22%)
interaction
(1.00%)
interesting subject
(-22.92%)
intrusive object presence
(-40.09%)
lively color
(-12.43%)
low light
(99.85%)
noise
(-8.30%)
pleasant camera tilt
(-6.35%)
pleasant composition
(-78.61%)
pleasant lighting
(-40.53%)
pleasant pattern
(5.10%)
pleasant perspective
(-3.67%)
pleasant post processing
(6.98%)
pleasant reflection
(0.06%)
pleasant symmetry
(0.56%)
sharply focused subject
(0.32%)
tastefully blurred
(-1.76%)
well chosen subject
(-5.34%)
well framed subject
(-25.02%)
well timed shot
(14.67%)
all
(-4.38%)
* 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.