Photos | Jhene Aiko Smoking at Coachella
Singer Jhené Aiko performs in a bikini top and white panties on stage, with a guitar and microphone in hand, as the crowd watches in awe at Coachella 2014 Sunday 2.
BLIP-2 Description:
a woman in a bikini top and white panties on stageChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
Location:
stage jhene coachella easter rekognition_c musical april life concert electrical part performing arts urban canon sunday night lighting recreation corrupt travel guitar necklace device formal wear dress entertainer disk trip jewelry aiko crowd rock eos smoking microphone festival spring instrument performer ring performance art club solo performance ii mark jhené singer accessories singing
iso
3200
metering mode
5
aperture
f/2.8
focal length
200mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2014-04-20T22:31:58.180000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(60.69%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.36%)
failure
(-1.15%)
harmonious color
(3.74%)
immersiveness
(0.29%)
interaction
(1.00%)
interesting subject
(53.03%)
intrusive object presence
(-13.48%)
lively color
(-29.59%)
low light
(88.33%)
noise
(-9.38%)
pleasant camera tilt
(1.87%)
pleasant composition
(-14.04%)
pleasant lighting
(8.95%)
pleasant pattern
(1.32%)
pleasant perspective
(-2.58%)
pleasant post processing
(-4.40%)
pleasant reflection
(-1.28%)
pleasant symmetry
(0.51%)
sharply focused subject
(9.16%)
tastefully blurred
(22.97%)
well chosen subject
(-1.30%)
well framed subject
(67.43%)
well timed shot
(16.99%)
all
(5.43%)
* 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.