Photos | Spotlight on Beth Ditto
Lead singer Beth Ditto takes the stage at Coachella, commanding the spotlight with her powerful voice and striking fashion choices. The electric atmosphere and energetic crowd made for an unforgettable rock concert experience.
BLIP-2 Description:
a woman in a dress on stage with a microphoneChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
lighting speaker urban activities theater beth ditto glove dancing device saturday part lamp coachella spotlight back indoors accessories performing jewelry night glasses footwear crowd mark concert audience april light canon eos electrical life rock concert bracelet box bownds stage arts leisure hat art ii microphone spring greg electronics shoe
iso
1600
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2010-04-17T18:25:40.850000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(46.34%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.41%)
failure
(-0.32%)
harmonious color
(-0.60%)
immersiveness
(1.39%)
interaction
(1.00%)
interesting subject
(6.96%)
intrusive object presence
(-7.84%)
lively color
(-25.73%)
low light
(93.80%)
noise
(-1.32%)
pleasant camera tilt
(-8.74%)
pleasant composition
(-54.30%)
pleasant lighting
(-33.96%)
pleasant pattern
(18.99%)
pleasant perspective
(8.50%)
pleasant post processing
(-2.05%)
pleasant reflection
(1.51%)
pleasant symmetry
(7.93%)
sharply focused subject
(0.24%)
tastefully blurred
(-17.64%)
well chosen subject
(0.20%)
well framed subject
(-18.66%)
well timed shot
(12.73%)
all
(-1.18%)
* 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.