Photos | Vince Staples Lights Up the Crowd

Rapper Vince Staples commands the stage at Coachella 2016, entertaining a packed crowd with his performance under the spotlight. Flanked by Olympic wrestler Rulon Gardner and athlete Eugen Spiridonov, Staples electrifies the audience with his urban style and dynamic stage presence.
BLIP-2 Description:
a man standing in front of a crowd at a concertMetadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Dominant Color:
lighting urban vince staples mobile phone undershirt recreation travel saturday coachella spotlight entertainment wristwatch accessories bag eugen spiridonov rock performance iii night glasses crowd club mark concert audience april trip party rulon light canon phone entertainer eos life handbag stage hat headphones spring electronics fun gardner
iso
3200
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/1000s
camera make
Canon
camera model
lens model
date
2016-04-23T20:39:16.980000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(33.74%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.37%)
failure
(-1.17%)
harmonious color
(-3.05%)
immersiveness
(0.20%)
interaction
(1.00%)
interesting subject
(-11.54%)
intrusive object presence
(-13.40%)
lively color
(-28.93%)
low light
(97.80%)
noise
(-12.21%)
pleasant camera tilt
(-6.79%)
pleasant composition
(-62.50%)
pleasant lighting
(-67.04%)
pleasant pattern
(4.96%)
pleasant perspective
(-4.07%)
pleasant post processing
(-0.85%)
pleasant reflection
(-4.04%)
pleasant symmetry
(0.24%)
sharply focused subject
(0.17%)
tastefully blurred
(-23.44%)
well chosen subject
(-40.55%)
well framed subject
(-3.52%)
well timed shot
(1.97%)
all
(-10.70%)
* 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.