Photos | Belly Dancing Queen Takes Center Stage
A woman mesmerizes the crowd with her stunning belly dance performance at Coachella 2012, accompanied by a drum and string instrument. Tamara de Lempicka and Dana Strum among the audience.
BLIP-2 Description:
a woman in a belly dance costume on stageChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
instrument speaker percussion activities band dancing group device recreation lamp musician coachella drum spotlight strum accessories bag performer rock tamara de lempicka jewelry performance drummer glasses footwear crowd musical instrument singer concert music light string entertainer electrical speakers handbag stage leisure hat art performing arts dana microphone electronics necklace shoe
iso
1600
metering mode
5
aperture
f/2.8
focal length
35mm
shutter speed
1/640s
camera make
Canon
camera model
lens model
date
2012-04-15T16:40:17.070000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(42.72%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.40%)
failure
(-0.24%)
harmonious color
(1.26%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(14.48%)
intrusive object presence
(-31.57%)
lively color
(-13.84%)
low light
(75.20%)
noise
(-5.20%)
pleasant camera tilt
(-6.80%)
pleasant composition
(-63.09%)
pleasant lighting
(-14.95%)
pleasant pattern
(5.49%)
pleasant perspective
(14.25%)
pleasant post processing
(3.37%)
pleasant reflection
(-1.93%)
pleasant symmetry
(0.95%)
sharply focused subject
(0.73%)
tastefully blurred
(-3.17%)
well chosen subject
(-23.97%)
well framed subject
(5.27%)
well timed shot
(26.39%)
all
(0.19%)
* 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.