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:
group activities spotlight urban rock leisure john music speaker footwear stage microphone performing arts musician cochella performance shoe art night life friday interior rekognition_c electronics performer light nightclub room musical instrument lydon recreation band lighting device concert crowd electrical
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.