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:
lighting instrument speaker heel urban skirt activities band dancing group device recreation saturday jeans part musician coachella high spotlight wristwatch back accessories bag performer rock jewelry performance nancy whang glasses footwear crowd musical instrument singer night life club musical guitar concert music light shorts entertainer electrical speakers handbag bracelet stage leisure art performing arts microphone electronics necklace shoe
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.