Photos | Lil Uzi Vert Rocks Coachella Crowd
Tattooed and energetic, Lil Uzi Vert performs at Coachella, lighting up the stage with his solo performance and captivating the crowd with his urban style.
BLIP-2 Description:
a man with tattoos on his chest singing into a microphoneChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Dominant Color:
skin activities necklace electric guitar spotlight urban singing rock leisure music stage microphone crowd performing arts musician entertainer performance lil art singer coachella life rekognition_c performer jewelry light accessories musical uzi instrument night recreation tattoo lighting device raio part lauren guitar back concert vert solo performance polo electrical
iso
800
metering mode
5
aperture
f/2.8
exposure bias
0.32999999999999996
focal length
105mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2017-04-16T17:12:40.870000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(78.91%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.46%)
failure
(-0.10%)
harmonious color
(21.79%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(66.02%)
intrusive object presence
(-5.00%)
lively color
(11.34%)
low light
(62.16%)
noise
(-1.42%)
pleasant camera tilt
(1.32%)
pleasant composition
(36.33%)
pleasant lighting
(44.36%)
pleasant pattern
(8.64%)
pleasant perspective
(26.22%)
pleasant post processing
(6.55%)
pleasant reflection
(0.69%)
pleasant symmetry
(1.03%)
sharply focused subject
(29.81%)
tastefully blurred
(72.41%)
well chosen subject
(21.74%)
well framed subject
(77.64%)
well timed shot
(35.18%)
all
(24.26%)
* 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.