Photos | Red Dress on Stage
Dana Strum and other musicians perform with a female singer in a striking red dress at Coachella 2012. The spotlight highlights their stunning musical skills and show-stopping clothing.
BLIP-2 Description:
a woman in a red dress on stage with other musiciansChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
lighting instrument speaker urban percussion activities theater dancing recreation musician coachella drum spotlight dana strum indoors accessories performer rock jewelry performance drummer glasses footwear crowd necklace singer musical guitar concert music light string bride entertainer bracelet stage leisure music band art performing arts group performance electronics wedding shoe
iso
1600
metering mode
5
aperture
f/2.8
exposure bias
-0.32999999999999996
focal length
31mm
shutter speed
1/2000s
camera make
Canon
camera model
lens model
date
2012-04-15T16:38:31.170000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(57.47%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.42%)
failure
(-0.27%)
harmonious color
(10.04%)
immersiveness
(0.17%)
interaction
(1.00%)
interesting subject
(50.59%)
intrusive object presence
(-9.52%)
lively color
(-2.61%)
low light
(98.83%)
noise
(-4.54%)
pleasant camera tilt
(-6.71%)
pleasant composition
(-15.84%)
pleasant lighting
(8.22%)
pleasant pattern
(14.26%)
pleasant perspective
(12.56%)
pleasant post processing
(6.81%)
pleasant reflection
(2.18%)
pleasant symmetry
(3.25%)
sharply focused subject
(2.34%)
tastefully blurred
(-0.84%)
well chosen subject
(-22.35%)
well framed subject
(40.43%)
well timed shot
(22.81%)
all
(8.80%)
* 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.