Photos | Rudy Mancuso sets stage ablaze with performance at the Big Four Festival
The crowd goes wild as Rudy Mancuso takes to the stage, illuminated by mesmerizing flames in a performance that set the night on fire at the 2011 Big Four Festival.
BLIP-2 Description:
a man on stage with a microphone and fire behind himChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
lighting instrument speaker urban activities theater band group recreation fire big_four_festival musician spotlight indoors flare performer rock performance crowd musical night life four rudy mancuso concert audience music light flame speakers stage arts festival leisure big art performing electronics
iso
100
metering mode
2
aperture
f/2.8
focal length
16mm
shutter speed
1/50s
camera make
Canon
camera model
lens model
date
2011-04-23T21:01:50.220000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(53.42%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.47%)
failure
(-0.49%)
harmonious color
(3.92%)
immersiveness
(0.37%)
interaction
(1.00%)
interesting subject
(17.98%)
intrusive object presence
(-7.52%)
lively color
(-42.29%)
low light
(99.85%)
noise
(-3.96%)
pleasant camera tilt
(-12.96%)
pleasant composition
(-66.46%)
pleasant lighting
(-30.08%)
pleasant pattern
(2.73%)
pleasant perspective
(6.56%)
pleasant post processing
(6.17%)
pleasant reflection
(-3.69%)
pleasant symmetry
(0.68%)
sharply focused subject
(0.12%)
tastefully blurred
(-19.85%)
well chosen subject
(7.61%)
well framed subject
(-34.50%)
well timed shot
(31.71%)
all
(-0.74%)
* 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.