Photos | PIL Rocks the Crowd at Coachella 2010
John Lydon and his band perform under the spotlight, with a large PIL sign in the background. The energetic concert was a hit with the urban crowd, showcasing their musical skill and showmanship.
BLIP-2 Description:
a band on stage with a large sign that says "pil"Chronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
lighting instrument speaker room urban activities band group device recreation musician cochella spotlight performer rock lydon performance footwear crowd musical night life friday john concert music interior light nightclub electrical rekognition_c stage leisure art performing arts microphone electronics shoe
iso
3200
metering mode
5
aperture
f/2.8
focal length
29mm
shutter speed
1/30s
camera make
Canon
camera model
lens model
date
2010-04-17T00:19:38.520000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(40.16%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.30%)
failure
(-2.88%)
harmonious color
(3.65%)
immersiveness
(0.32%)
interaction
(1.00%)
interesting subject
(-30.93%)
intrusive object presence
(-6.52%)
lively color
(-37.04%)
low light
(99.95%)
noise
(-4.64%)
pleasant camera tilt
(-10.56%)
pleasant composition
(-81.20%)
pleasant lighting
(-54.59%)
pleasant pattern
(2.25%)
pleasant perspective
(-2.28%)
pleasant post processing
(3.37%)
pleasant reflection
(-1.07%)
pleasant symmetry
(0.63%)
sharply focused subject
(0.17%)
tastefully blurred
(-35.72%)
well chosen subject
(3.38%)
well framed subject
(-43.63%)
well timed shot
(0.96%)
all
(-8.27%)
* 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.