Photos | Artistic Electrification

Julien Bam and Jeff M take the podium at DefCon, showcasing their unique art installation powered by an array of electrical devices. The crowd watches in awe as the duo delivers a captivating performance.
BLIP-2 Description:
a group of people standing at a podium with a signMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
instrument speaker furniture activities band glove group device julien bam musician teen wristwatch indoors second_camera accessories sign performer jeff jewelry performance chair glasses second footwear camera crowd necklace musical banner tracki speech concert podium audience music boy bride electrical stage leisure hat art rakerkiin flag microphone defcon electronics wedding shoe
iso
1600
metering mode
5
aperture
f/4.5
exposure bias
-1
focal length
32mm
shutter speed
1/15s
camera make
Canon
camera model
lens model
date
2011-08-07T19:29:55.240000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(39.40%)
curation
(65.65%)
highlight visibility
(5.55%)
behavioral
(70.55%)
failure
(-0.59%)
harmonious color
(-1.49%)
immersiveness
(0.29%)
interaction
(1.00%)
interesting subject
(-3.56%)
intrusive object presence
(-8.64%)
lively color
(-14.10%)
low light
(85.01%)
noise
(-5.64%)
pleasant camera tilt
(-2.67%)
pleasant composition
(-50.24%)
pleasant lighting
(-40.55%)
pleasant pattern
(5.79%)
pleasant perspective
(0.48%)
pleasant post processing
(2.23%)
pleasant reflection
(3.57%)
pleasant symmetry
(0.63%)
sharply focused subject
(0.54%)
tastefully blurred
(-14.00%)
well chosen subject
(-13.59%)
well framed subject
(-4.49%)
well timed shot
(-3.88%)
all
(-4.51%)
* 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.