Photos | Electrifying Music Performance

Yoshiki Fukuyama, Megumi Seki, Bryce Hall, and Jeff M deliver an energetic musical performance to a crowd of 16 people at Def Con 2011, accompanied by a dazzling banner and instruments including drums and speakers.
BLIP-2 Description:
a group of people standing at a podium with a signMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
speech group necklace defcon music speaker footwear stage second microphone musical instrument wristwatch jeff musician furniture performance shoe yoshiki fukuyama megumi desk camera glasses indoors audience seki banner sign electronics performer jewelry bryce hall table accessories musical instrument band speakers device second_camera concert leisure activities crowd drum electrical
iso
1600
metering mode
5
aperture
f/4.5
exposure bias
-1
focal length
30mm
shutter speed
1/13s
camera make
Canon
camera model
lens model
date
2011-08-07T19:30:00.040000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(40.77%)
curation
(65.38%)
highlight visibility
(5.53%)
behavioral
(70.48%)
failure
(-0.32%)
harmonious color
(2.93%)
immersiveness
(0.20%)
interaction
(1.00%)
interesting subject
(17.32%)
intrusive object presence
(-13.48%)
lively color
(-19.75%)
low light
(80.32%)
noise
(-3.39%)
pleasant camera tilt
(-2.39%)
pleasant composition
(-59.86%)
pleasant lighting
(-44.68%)
pleasant pattern
(2.56%)
pleasant perspective
(6.13%)
pleasant post processing
(0.31%)
pleasant reflection
(2.80%)
pleasant symmetry
(0.39%)
sharply focused subject
(0.34%)
tastefully blurred
(-17.33%)
well chosen subject
(-8.84%)
well framed subject
(-9.03%)
well timed shot
(10.11%)
all
(-3.96%)
* 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.