Photos | Podium Performance

Akira Koike, Heiward Mak, and Jeff M take the stage at DEFCON while the crowd watches on. The speakers and microphone stand ready for a musical performance.
BLIP-2 Description:
a group of people standing around a podium with a man on stageMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
instrument speaker furniture tape desk band weapon group device musician teen heiward wristwatch indoors second_camera accessories sign performer jeff jewelry performance glasses second footwear camera crowd musical instrument necklace musical tracki leisure activities deecon concert podium audience music speech table boy sword bride akira koike electrical speakers packer stage mak killing defcon microphone electronics wedding shoe
iso
1600
metering mode
5
aperture
f/4.5
exposure bias
-1
focal length
30mm
shutter speed
1/25s
camera make
Canon
camera model
lens model
date
2011-08-07T19:30:01.700000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(27.49%)
curation
(65.57%)
highlight visibility
(5.54%)
behavioral
(70.48%)
failure
(-0.78%)
harmonious color
(0.69%)
immersiveness
(0.10%)
interaction
(1.00%)
interesting subject
(-3.57%)
intrusive object presence
(-9.01%)
lively color
(-20.63%)
low light
(97.07%)
noise
(-4.83%)
pleasant camera tilt
(-3.89%)
pleasant composition
(-66.06%)
pleasant lighting
(-52.69%)
pleasant pattern
(2.10%)
pleasant perspective
(2.98%)
pleasant post processing
(-1.26%)
pleasant reflection
(4.56%)
pleasant symmetry
(0.22%)
sharply focused subject
(0.12%)
tastefully blurred
(-54.83%)
well chosen subject
(-14.05%)
well framed subject
(-20.30%)
well timed shot
(0.94%)
all
(-7.72%)
* 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.