Photos | Group Performance with Pharrell Williams
Mette Towley and Nicole Forrester join Pharrell Williams on stage for an electrifying performance at Coachella 2014 WK01.
BLIP-2 Description:
a group of people on stage performing with a man in the middleChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Location:
bracelet group activities spotlight urban rock leisure music footwear baby stage wristwatch hat performing arts musician pose entertainer saturday performance shoe art pharrell williams indoors coachella shorts life forrester rekognition_c theater jewelry performer light accessories musical high night heel recreation band instrument towley dance lighting nicole mette concert crowd dancing
iso
3200
metering mode
5
aperture
f/2.8
exposure bias
0.32999999999999996
focal length
16mm
shutter speed
1/1000s
camera make
Canon
camera model
lens model
date
2014-04-12T22:44:23.880000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(37.92%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.32%)
failure
(-0.51%)
harmonious color
(5.02%)
immersiveness
(0.17%)
interaction
(1.00%)
interesting subject
(0.16%)
intrusive object presence
(-11.43%)
lively color
(-21.37%)
low light
(98.34%)
noise
(-6.01%)
pleasant camera tilt
(-6.34%)
pleasant composition
(-79.79%)
pleasant lighting
(-30.96%)
pleasant pattern
(3.71%)
pleasant perspective
(-4.84%)
pleasant post processing
(-2.50%)
pleasant reflection
(-1.93%)
pleasant symmetry
(0.22%)
sharply focused subject
(0.34%)
tastefully blurred
(-24.39%)
well chosen subject
(-13.04%)
well framed subject
(-56.01%)
well timed shot
(28.49%)
all
(-4.28%)
* 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.