Photos | Gold and Black Performers Rock the Stage
Entertainers Watkin Tudor Jones and Yolandi Visser rock the Coachella stage in 2010, wearing standout gold and black outfits while performing for a crowd of enthusiastic concert-goers.
BLIP-2 Description:
a woman in a gold outfit and a man in a black shirtChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
visser bracelet skin activities hair yolandi urban rock singing baseball leisure blonde speaker music stage microphone moon performing arts musician entertainer saturday performance art watkin tudor jones (ball) coachella shorts ball electronics jewelry performer sport skirt accessories side musical instrument recreation tattoo lighting device part back concert crowd singer dancing electrical
iso
1600
metering mode
5
aperture
f/3.2
exposure bias
-0.67
focal length
105mm
shutter speed
1/320s
camera make
Canon
camera model
lens model
date
2010-04-17T23:56:38-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(69.78%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.52%)
failure
(-0.12%)
harmonious color
(13.44%)
immersiveness
(0.39%)
interaction
(1.00%)
interesting subject
(84.72%)
intrusive object presence
(-88.18%)
lively color
(-12.33%)
low light
(83.06%)
noise
(-3.88%)
pleasant camera tilt
(-1.36%)
pleasant composition
(-4.72%)
pleasant lighting
(34.47%)
pleasant pattern
(7.30%)
pleasant perspective
(26.22%)
pleasant post processing
(27.03%)
pleasant reflection
(3.40%)
pleasant symmetry
(2.12%)
sharply focused subject
(13.13%)
tastefully blurred
(42.24%)
well chosen subject
(-5.30%)
well framed subject
(72.75%)
well timed shot
(60.55%)
all
(19.52%)
* 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.