Photos | Electrifying Performance Against a Ferris Wheel

Bill Stevenson and his band rock the Coachella stage under the spotlight, while a vibrant ferris wheel turns in the background, creating a trail of light.
BLIP-2 Description:
a band playing on stage at night with a ferris wheel in the backgroundMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
spotlight urban rock bill music speaker footwear stage microphone hat performing arts musician entertainer performance stevenson shoe bag weekend art glove machine glasses coachella pc life helmet cord electronics wheel rekognition_c performer light group performance accessories musical instrument night recreation handbag band speakers lighting laptop device guitar day concert computer leisure activities crowd electrical
iso
3200
metering mode
5
aperture
f/2.8
focal length
35mm
shutter speed
1/1600s
camera make
Canon
camera model
lens model
date
2013-04-20T21:25:26.990000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(34.81%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.54%)
failure
(-0.73%)
harmonious color
(-0.86%)
immersiveness
(0.73%)
interaction
(1.00%)
interesting subject
(-36.18%)
intrusive object presence
(-7.45%)
lively color
(-20.86%)
low light
(93.36%)
noise
(-8.30%)
pleasant camera tilt
(-4.70%)
pleasant composition
(-65.23%)
pleasant lighting
(-44.51%)
pleasant pattern
(3.96%)
pleasant perspective
(4.79%)
pleasant post processing
(-1.66%)
pleasant reflection
(3.28%)
pleasant symmetry
(0.39%)
sharply focused subject
(0.22%)
tastefully blurred
(-13.65%)
well chosen subject
(1.04%)
well framed subject
(-42.48%)
well timed shot
(17.97%)
all
(-4.30%)
* 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.