Photos | Ice Cube Rocks the Stage
Hip-hop legend Ice Cube delivers an electrifying performance under the red spotlight at Coachella 2016. The crowd goes wild as he and fellow entertainer light up the stage with their energetic presence.
BLIP-2 Description:
two men on stage at a concert with red lightsChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Dominant Color:
Location:
group activities formal spotlight urban rock leisure music speaker footwear stage microphone wristwatch hat performing arts musician entertainer saturday performance ice shoe art led glove glasses indoors coachella life wear rekognition_c electronics theater performer light suit accessories musical instrument night recreation band cube lighting device rock concert concert crowd dancing electrical
iso
1600
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2016-04-16T21:28:16.690000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(50.68%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.50%)
failure
(-2.00%)
harmonious color
(6.98%)
immersiveness
(0.88%)
interaction
(1.00%)
interesting subject
(3.44%)
intrusive object presence
(-8.72%)
lively color
(-12.32%)
low light
(99.76%)
noise
(-5.27%)
pleasant camera tilt
(-8.31%)
pleasant composition
(-40.19%)
pleasant lighting
(-25.34%)
pleasant pattern
(10.57%)
pleasant perspective
(1.27%)
pleasant post processing
(6.11%)
pleasant reflection
(-0.41%)
pleasant symmetry
(1.07%)
sharply focused subject
(0.95%)
tastefully blurred
(-4.15%)
well chosen subject
(-6.24%)
well framed subject
(4.65%)
well timed shot
(5.44%)
all
(0.57%)
* 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.