Photos | Yolandi Visser Takes the Stage with a Passionate Performer
Yolandi Visser stands on stage with a mic in hand, delivering a powerful performance alongside a passionate musician. Her T-Shirt and accessories give her an edgy style that perfectly matches the energetic music and crowd.
BLIP-2 Description:
a woman standing on stage with a manChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
activities urban singing leisure music eos ring stage microphone musical instrument performing arts musician entertainer saturday performance art club coachella shorts life jewelry performer accessories musical instrument night recreation april spring t-shirt yolandi visser canon lighting device part concert crowd singer undershirt electrical
iso
1600
metering mode
5
aperture
f/3.2
exposure bias
-0.67
focal length
195mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2010-04-17T23:53:24-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(49.39%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.43%)
failure
(-1.00%)
harmonious color
(5.73%)
immersiveness
(0.17%)
interaction
(1.00%)
interesting subject
(10.20%)
intrusive object presence
(-8.59%)
lively color
(-1.96%)
low light
(97.41%)
noise
(-6.91%)
pleasant camera tilt
(-0.70%)
pleasant composition
(-22.01%)
pleasant lighting
(-22.73%)
pleasant pattern
(3.42%)
pleasant perspective
(4.83%)
pleasant post processing
(0.58%)
pleasant reflection
(0.22%)
pleasant symmetry
(0.56%)
sharply focused subject
(3.15%)
tastefully blurred
(0.13%)
well chosen subject
(-7.13%)
well framed subject
(39.84%)
well timed shot
(12.81%)
all
(2.81%)
* 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.