Photos | Yolandi Visser dances to the beat of the xx's new album Tear Sheets
The energetic performer captivates the crowd with her finger-pointing dance moves at the concert, with the sound of the xx's powerful electronic devices as her backing track.
BLIP-2 Description:
the website for the new album by the band the xxMetadata
Capture date:
Original Dimensions:
748w x 759h - (download 4k)
Usage
Dominant Color:
case direct coachella interview urban leisure x part pose interscope jump show us fame sign pay electronics today tear don't love concert eecue stage device rolls read crowd survivor performance rave zef die dance first missed rest bullock xeni weekend beat sheets yolandi visser antwoord dave activities side webcast boy electrical antwoord's internet play blomkamp la brand previously progeria newfound botha shot leon microphone african hosting document rap neill times afrikaans dancing gallery
Detected Text
african afrikaans antwoord antwoord's beat boy brand blomkamp botha bullock case coachella direct dave die fame gallery hosting interscope leon love neill performance photos play previously progeria rave rest rap read rolls shot survivor show us weekend x xeni a after and at by don't eecue first from in internet interview it jump la missed my newfound of pay s side sign the their this times to today webcast with you your zef
overall
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pleasant post processing
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tastefully blurred
(19.62%)
well chosen subject
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well framed subject
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* 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.
* NOTE: This image was scaled up from its original size using an AI model called GFP-GAN (Generative Facial Prior), which is a
Generative adversartial network that can be used to repair (or upscale in this case) photos, sometimes the results are a little...
weird.
* WARNING: The title and caption of this image were generated with AI (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.