Photos | Lil Uzi Vert Takes on Coachella
The energetic entertainer takes center stage, microphone in hand, at the Empire Polo Club in Indio, California for a solo performance during the 2017 Coachella music festival.
BLIP-2 Description:
a man on stage with a microphone in his handChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3840w x 5760h - (download 4k)
Usage
Location:
lighting instrument coachella valley activities device recreation jeans polo musician indio coachella accessories performing performer jewelry performance states iii avenue crowd solo singer club lil uzi vert musical mark guitar concert april music canon empire entertainer eos electrical rock concert united california wine stage arts leisure art microphone ca spring movie necklace
iso
800
metering mode
5
aperture
f/3.2
exposure bias
0.32999999999999996
focal length
195mm
shutter speed
1/1250s
camera make
Canon
camera model
lens model
date
2017-04-16T16:52:21.010000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(66.89%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.50%)
failure
(-0.15%)
harmonious color
(17.87%)
immersiveness
(0.27%)
interaction
(1.00%)
interesting subject
(32.45%)
intrusive object presence
(-5.86%)
lively color
(15.04%)
low light
(67.19%)
noise
(-1.39%)
pleasant camera tilt
(-2.14%)
pleasant composition
(17.30%)
pleasant lighting
(7.89%)
pleasant pattern
(34.72%)
pleasant perspective
(22.12%)
pleasant post processing
(5.98%)
pleasant reflection
(2.24%)
pleasant symmetry
(2.20%)
sharply focused subject
(10.96%)
tastefully blurred
(26.07%)
well chosen subject
(40.04%)
well framed subject
(65.04%)
well timed shot
(15.41%)
all
(16.84%)
* 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.