Photos | Feathers and Footwork: A Dazzling Dance Performance
Three skilled dancers take the stage in stunning feather costumes, wowing the crowd with their intricate footwork and captivating performance at Coachella 2012.
BLIP-2 Description:
three dancers in feathers on stage at a concertChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
group marie laurencin activities necklace spotlight urban leisure music speaker footwear stage lamp microphone wristwatch performing arts pose entertainer performance shoe art glasses coachella pc helmet electronics jewelry performer light musical accessories instrument recreation speakers dance laptop device dress concert computer crowd dancing electrical
iso
1600
metering mode
5
aperture
f/2.8
focal length
31mm
shutter speed
1/800s
camera make
Canon
camera model
lens model
date
2012-04-15T16:49:55.260000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(60.25%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.39%)
failure
(-0.22%)
harmonious color
(9.51%)
immersiveness
(0.49%)
interaction
(1.00%)
interesting subject
(45.70%)
intrusive object presence
(-9.62%)
lively color
(-11.40%)
low light
(95.46%)
noise
(-1.39%)
pleasant camera tilt
(-6.63%)
pleasant composition
(-27.20%)
pleasant lighting
(8.92%)
pleasant pattern
(13.87%)
pleasant perspective
(16.38%)
pleasant post processing
(11.79%)
pleasant reflection
(5.38%)
pleasant symmetry
(2.47%)
sharply focused subject
(1.10%)
tastefully blurred
(-5.07%)
well chosen subject
(-21.47%)
well framed subject
(-5.43%)
well timed shot
(27.49%)
all
(8.94%)
* 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.