Photos | White Dress Singer Rocks Coachella

PJ Harvey performs on stage at Coachella, captivating the crowd with her powerful voice and dynamic presence. Mick Harvey and the band provide the perfect musical accompaniment.
BLIP-2 Description:
a woman in a white dress is singing on stageMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
activities sunday rock leisure music speaker keyboard eos pj stage section musical instrument microphone performing arts musician entertainer guitarist performance art ii coachella brass mark rekognition_c electronics drum performer mick harvey group performance drummer musical instrument recreation band april spring percussion speakers canon lighting device guitar concert harvey crowd singer piano electrical
iso
100
metering mode
2
aperture
f/2.8
exposure bias
-2
focal length
18mm
shutter speed
1/30s
camera make
Canon
camera model
lens model
date
2011-04-17T22:15:48.240000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(37.57%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.42%)
failure
(-1.61%)
harmonious color
(-3.50%)
immersiveness
(0.29%)
interaction
(1.00%)
interesting subject
(-16.49%)
intrusive object presence
(-19.73%)
lively color
(-18.42%)
low light
(99.90%)
noise
(-15.31%)
pleasant camera tilt
(-8.79%)
pleasant composition
(-71.48%)
pleasant lighting
(-59.18%)
pleasant pattern
(6.30%)
pleasant perspective
(-0.45%)
pleasant post processing
(1.91%)
pleasant reflection
(-1.23%)
pleasant symmetry
(0.71%)
sharply focused subject
(0.24%)
tastefully blurred
(-20.65%)
well chosen subject
(-5.29%)
well framed subject
(-16.92%)
well timed shot
(28.08%)
all
(-5.56%)
* 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.