Photos | Skateboarding Performance at Nightclub Concert
Denis Flahaut wows the crowd with his skateboard tricks during a thrilling musical performance at the 2006 nightclub concert.
BLIP-2 Description:
a man on a skateboard performing in front of a crowdChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
flahaut bracelet necklace urban rock domenick baseball music speaker footwear timmy xu wei zhou cap stage microphone hat lombardozzi entertainer performance shoe denis club glasses audience life interior deejay rekognition_c electronics jewelry accessories nightclub room musical instrument night recreation turntable lighting device part tender back concert fionn whitehead crowd undershirt electrical
Detected Text
iso
100
metering mode
5
aperture
f/4
focal length
17mm
shutter speed
1/160s
camera make
Canon
camera model
lens model
date
2006-09-03T22:57:30-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(39.65%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.63%)
failure
(-0.49%)
harmonious color
(-1.64%)
immersiveness
(0.20%)
interaction
(1.00%)
interesting subject
(9.92%)
intrusive object presence
(-14.38%)
lively color
(-15.93%)
low light
(98.44%)
noise
(-2.88%)
pleasant camera tilt
(-4.52%)
pleasant composition
(-57.71%)
pleasant lighting
(-52.44%)
pleasant pattern
(3.10%)
pleasant perspective
(12.52%)
pleasant post processing
(0.43%)
pleasant reflection
(0.62%)
pleasant symmetry
(0.42%)
sharply focused subject
(0.46%)
tastefully blurred
(-12.87%)
well chosen subject
(-7.97%)
well framed subject
(9.43%)
well timed shot
(39.21%)
all
(-1.84%)
* 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.