Photos | Pharrell Williams Rocking the Empire Polo Club Stage
The crowd roars as Pharrell Williams and his band put on an unforgettable performance under the bright lights at Coachella 2014.
BLIP-2 Description:
a group of people on stage performing at a concertChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Dominant Color:
Location:
stage pharrell williams night life coachella dancing indoors footwear musical bracelet child concert theater electrical urban performing arts lighting leisure activities recreation glove bag group hat device jewelry shorts handbag crowd musician rock wristwatch band light boy music microphone instrument performer performance art saturday spotlight shoe accessories
iso
3200
metering mode
5
aperture
f/2.8
exposure bias
0.32999999999999996
focal length
16mm
shutter speed
1/800s
camera make
Canon
camera model
lens model
date
2014-04-12T22:44:25.670000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(40.77%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.49%)
failure
(-0.32%)
harmonious color
(6.22%)
immersiveness
(0.17%)
interaction
(1.00%)
interesting subject
(-29.86%)
intrusive object presence
(-26.39%)
lively color
(-24.29%)
low light
(92.43%)
noise
(-2.66%)
pleasant camera tilt
(-7.71%)
pleasant composition
(-86.04%)
pleasant lighting
(-32.96%)
pleasant pattern
(1.78%)
pleasant perspective
(-0.81%)
pleasant post processing
(5.55%)
pleasant reflection
(-5.14%)
pleasant symmetry
(0.34%)
sharply focused subject
(0.17%)
tastefully blurred
(-10.76%)
well chosen subject
(-4.64%)
well framed subject
(-56.05%)
well timed shot
(22.68%)
all
(-4.34%)
* 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.