Photos | Nancy Whang Steals the Stage at Coachella 2010
Nancy Whang captivating the crowd with her vocals during a group performance at Coachella 2010 on Saturday.
BLIP-2 Description:
a group of people on stage with one woman singingChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
bracelet group activities jeans necklace spotlight urban rock leisure music speaker footwear nancy whang stage microphone musical instrument wristwatch performing arts musician entertainer saturday performance shoe bag art night life club glasses coachella shorts electronics jewelry performer skirt light accessories musical high instrument heel recreation handbag band speakers lighting device part guitar back concert crowd singer dancing electrical
iso
1600
metering mode
5
aperture
f/2.8
focal length
35mm
shutter speed
1/800s
camera make
Canon
camera model
lens model
date
2010-04-17T18:30:57.060000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(44.58%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.54%)
failure
(-0.44%)
harmonious color
(0.65%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(17.68%)
intrusive object presence
(-14.82%)
lively color
(-38.77%)
low light
(98.24%)
noise
(-5.13%)
pleasant camera tilt
(-5.47%)
pleasant composition
(-70.31%)
pleasant lighting
(-55.71%)
pleasant pattern
(2.22%)
pleasant perspective
(1.07%)
pleasant post processing
(3.44%)
pleasant reflection
(-1.42%)
pleasant symmetry
(0.71%)
sharply focused subject
(0.39%)
tastefully blurred
(-3.35%)
well chosen subject
(-21.91%)
well framed subject
(0.88%)
well timed shot
(41.33%)
all
(-4.72%)
* 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.