Photos | Dynamic Performance at Coachella
Beth Ditto and her partner captivate the crowd as they belt out their latest hits on stage at the 2010 Coachella Saturday concert. The performers are bathed in the spotlight as they hold their microphones aloft, and the electric energy of the event is visible in the mesmerized expressions of the crowd.
BLIP-2 Description:
a man and woman singing into microphones at a concertMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
urban instrument recreation bracelet glasses music shirt musician night life performing leisure coachella activities musical eos necklace entertainer singing crowd canon beth ditto arts singer jewelry device concert performer stage lighting solo april microphone spring spotlight performance light saturday accessories electrical art part
iso
1250
metering mode
5
aperture
f/2.8
exposure bias
0.32999999999999996
focal length
145mm
shutter speed
1/60s
camera make
Canon
camera model
lens model
overall
(50.15%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.38%)
failure
(-0.32%)
harmonious color
(5.08%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(9.61%)
intrusive object presence
(-41.06%)
lively color
(-14.36%)
low light
(60.69%)
noise
(-3.66%)
pleasant camera tilt
(-0.02%)
pleasant composition
(-72.75%)
pleasant lighting
(-24.91%)
pleasant pattern
(0.63%)
pleasant perspective
(-2.58%)
pleasant post processing
(2.84%)
pleasant reflection
(6.18%)
pleasant symmetry
(0.24%)
sharply focused subject
(3.27%)
tastefully blurred
(23.93%)
well chosen subject
(13.38%)
well framed subject
(32.62%)
well timed shot
(30.49%)
all
(0.57%)
* 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.