Photos | Ice Cube Rocks the Stage in White
Entertainer Ice Cube captures the spotlight in his white suit at the 2016 Coachella concert, surrounded by a cheering crowd and accompanied by a fellow performer.
BLIP-2 Description:
a man in a white suit standing on a stageChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Dominant Color:
group activities spotlight urban rock leisure music iii eos stage travel music band musical instrument wristwatch hat solo performing arts musician entertainer saturday performance art glasses indoors coachella mark electronics theater performer ice cube light accessories trip recreation april spring canon lighting entertainment concert crowd singer dancing
iso
1600
metering mode
5
aperture
f/2.8
focal length
35mm
shutter speed
1/1250s
camera make
Canon
camera model
lens model
date
2016-04-16T21:18:38-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(46.39%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.38%)
failure
(-1.83%)
harmonious color
(1.83%)
immersiveness
(0.17%)
interaction
(1.00%)
interesting subject
(8.21%)
intrusive object presence
(-6.54%)
lively color
(-19.24%)
low light
(99.90%)
noise
(-4.22%)
pleasant camera tilt
(-4.53%)
pleasant composition
(-21.67%)
pleasant lighting
(-43.33%)
pleasant pattern
(7.18%)
pleasant perspective
(0.56%)
pleasant post processing
(4.35%)
pleasant reflection
(-0.21%)
pleasant symmetry
(0.98%)
sharply focused subject
(0.63%)
tastefully blurred
(-19.67%)
well chosen subject
(-21.39%)
well framed subject
(21.08%)
well timed shot
(23.90%)
all
(-0.07%)
* 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.