Photos | Dancing under the Palm Trees
Yolandi Visser and Chiaki Omigawa showcase their moves on stage at Coachella 2008. The outdoor concert was lit by gentle spotlight and surrounded by greenery, making for a memorable night of music and dancing.
BLIP-2 Description:
a man and woman dancing on stageChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
bracelet activities spotlight urban plant rock leisure music speaker footwear chair stage hat performing arts tree musician pose furniture chiaki performance shoe art omigawa glasses coachella palm tree electronics jewelry performer light group performance accessories musical instrument recreation band yolandi visser speakers lighting dance cup concert crowd dancing
iso
100
metering mode
5
aperture
f/4
exposure bias
0.5
focal length
31mm
shutter speed
1/100s
camera make
Canon
camera model
lens model
date
2008-04-27T19:00:40-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(33.37%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.36%)
failure
(-0.27%)
harmonious color
(-0.38%)
immersiveness
(0.17%)
interaction
(1.00%)
interesting subject
(-13.15%)
intrusive object presence
(-24.90%)
lively color
(-31.47%)
low light
(33.23%)
noise
(-1.78%)
pleasant camera tilt
(-11.13%)
pleasant composition
(-88.09%)
pleasant lighting
(-55.52%)
pleasant pattern
(4.44%)
pleasant perspective
(-1.88%)
pleasant post processing
(1.41%)
pleasant reflection
(-2.10%)
pleasant symmetry
(0.46%)
sharply focused subject
(0.12%)
tastefully blurred
(-24.55%)
well chosen subject
(-15.04%)
well framed subject
(-38.16%)
well timed shot
(38.28%)
all
(-7.04%)
* 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,
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