Photos | The Electrifying Performance of Beth Ditto at Coachella

Beth Ditto raises her hands in the air as the vibrant circus light illuminates the crowd during her Saturday night performance at Coachella 2010.
BLIP-2 Description:
a woman on stage with her hands up in the airMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
lighting instrument speaker urban bam bam bigelow activities theater ditto glove dancing device recreation saturday part lamp musician beth teen coachella spotlight girl wristwatch back indoors accessories performing performer rock jewelry performance auditorium night glasses footwear crowd guitarist musical guitar concert audience circus music light electrical life hall rekognition_c bracelet box stage arts leisure art microphone electronics necklace shoe
iso
1600
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/320s
camera make
Canon
camera model
lens model
date
2010-04-17T18:25:40.330000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(52.49%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.32%)
failure
(-0.20%)
harmonious color
(3.16%)
immersiveness
(1.44%)
interaction
(1.00%)
interesting subject
(10.13%)
intrusive object presence
(-9.67%)
lively color
(-24.78%)
low light
(96.83%)
noise
(-0.83%)
pleasant camera tilt
(-8.19%)
pleasant composition
(-54.69%)
pleasant lighting
(-29.54%)
pleasant pattern
(24.07%)
pleasant perspective
(14.48%)
pleasant post processing
(2.08%)
pleasant reflection
(1.15%)
pleasant symmetry
(9.62%)
sharply focused subject
(0.24%)
tastefully blurred
(-5.47%)
well chosen subject
(2.07%)
well framed subject
(-22.03%)
well timed shot
(9.22%)
all
(0.77%)
* 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.