Photos | Keynote Speaker

Soon-Mi Chung takes the stage at DefCon 2011 to electrify the crowd with her insightful speech on cyber security. Jeff M joins her at the podium, as they address a captivated audience filled with tech enthusiasts and experts.
BLIP-2 Description:
a man standing at a podium with a microphoneMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
instrument soon-mi chung speaker furniture tape desk percussion killine band laptop device musician drum pc second_camera accessories sign performer bag jeff jewelry glasses second footwear camera def crowd musical banner leisure activities deecon concert podium audience music table parker electrical computer speakers handbag stage hat defcon microphone group performance electronics necklace shoe
iso
1600
metering mode
5
aperture
f/4.5
exposure bias
-1
focal length
24mm
shutter speed
1/15s
camera make
Canon
camera model
lens model
date
2011-08-07T19:30:11.280000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(27.95%)
curation
(65.47%)
highlight visibility
(5.54%)
behavioral
(70.51%)
failure
(-1.05%)
harmonious color
(0.76%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(-24.40%)
intrusive object presence
(-7.81%)
lively color
(-18.96%)
low light
(94.43%)
noise
(-4.03%)
pleasant camera tilt
(-3.16%)
pleasant composition
(-57.37%)
pleasant lighting
(-54.15%)
pleasant pattern
(2.81%)
pleasant perspective
(4.00%)
pleasant post processing
(-0.46%)
pleasant reflection
(1.07%)
pleasant symmetry
(0.27%)
sharply focused subject
(0.24%)
tastefully blurred
(-40.33%)
well chosen subject
(-13.29%)
well framed subject
(-15.61%)
well timed shot
(-8.57%)
all
(-7.96%)
* 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.