Photos | Jhené Aiko Rocks the Crowd at Coachella

The talented singer-songwriter takes the stage, microphone in hand, to deliver an electrifying performance at the 2014 Coachella music festival. The crowd goes wild as she belts out her hit songs while the lighting illuminates her stunning necklace and guitar.
BLIP-2 Description:
a woman in a white top singing on stageMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
Location:
string activities sunday necklace urban rock singing leisure jhené aiko music corrupt stage microphone solo performing arts musician night club entertainer performance art club coachella life drum jewelry performer accessories musical instrument night recreation lighting device part guitar rock concert concert crowd singer electrical
iso
3200
metering mode
5
aperture
f/2.8
focal length
195mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2014-04-20T22:31:35.320000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(76.86%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.39%)
failure
(-0.54%)
harmonious color
(12.94%)
immersiveness
(0.22%)
interaction
(1.00%)
interesting subject
(64.65%)
intrusive object presence
(-10.57%)
lively color
(-31.40%)
low light
(99.22%)
noise
(-2.81%)
pleasant camera tilt
(-1.62%)
pleasant composition
(7.35%)
pleasant lighting
(23.74%)
pleasant pattern
(4.05%)
pleasant perspective
(7.34%)
pleasant post processing
(14.87%)
pleasant reflection
(-2.00%)
pleasant symmetry
(0.76%)
sharply focused subject
(10.89%)
tastefully blurred
(55.96%)
well chosen subject
(11.36%)
well framed subject
(55.81%)
well timed shot
(30.66%)
all
(14.11%)
* 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.