Photos | Purple Haze Concert
Corinne Bailey Rae and Eleanor Friedberger electrify the crowd with their musical talents under the purple haze of the Coachella Saturday night lights in 2010.
BLIP-2 Description:
a band playing on stage in a tent with purple lightsChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
lighting instrument speaker urban percussion activities theater friedberger kit group device recreation saturday musician coachella drum spotlight indoors accessories cord performer rock jewelry performance night glasses footwear crowd guitarist musical guitar corinne bailey rae concert music light entertainer piano electrical life eleanor bracelet stage leisure music band hat art performing arts microphone keyboard electronics shoe
iso
1600
metering mode
5
aperture
f/2.8
focal length
23mm
shutter speed
1/50s
camera make
Canon
camera model
lens model
date
2010-04-17T19:43:37.630000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(65.53%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.30%)
failure
(-0.56%)
harmonious color
(13.85%)
immersiveness
(1.73%)
interaction
(1.00%)
interesting subject
(60.64%)
intrusive object presence
(-5.42%)
lively color
(-37.57%)
low light
(98.24%)
noise
(-3.74%)
pleasant camera tilt
(-4.27%)
pleasant composition
(-14.83%)
pleasant lighting
(0.42%)
pleasant pattern
(5.10%)
pleasant perspective
(12.90%)
pleasant post processing
(5.07%)
pleasant reflection
(2.54%)
pleasant symmetry
(3.49%)
sharply focused subject
(0.78%)
tastefully blurred
(-5.66%)
well chosen subject
(4.21%)
well framed subject
(4.42%)
well timed shot
(18.84%)
all
(7.61%)
* 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.