Photos | Panel Discussion at Defcon Conference

Derren Brown and Dan Kaminsky join a group of 24 people for a panel discussion at Defcon Day 3 in 2008. The audience listens intently as the speakers share their knowledge on cybersecurity topics.
BLIP-2 Description:
a group of people standing around a table with microphonesMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
architecture speech jeans boy necklace pants classroom building defcon lecture chair child footwear conference dan stage hat crowd furniture projection shoe bag meeting press conference hardware derren brown camera glasses indoors audience 思 shorts school interior electronics theater backpack jewelry screen accessories room 顛 monitor office couch 鼠 seminar cup day computer kaminsky handbag cinema
iso
3200
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/160s
camera make
Canon
camera model
lens model
date
2008-08-10T18:35:34-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(30.66%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.51%)
failure
(-0.29%)
harmonious color
(-0.91%)
immersiveness
(0.42%)
interaction
(1.00%)
interesting subject
(-44.31%)
intrusive object presence
(-7.81%)
lively color
(-26.44%)
low light
(88.43%)
noise
(-4.03%)
pleasant camera tilt
(-6.18%)
pleasant composition
(-81.69%)
pleasant lighting
(-60.74%)
pleasant pattern
(5.18%)
pleasant perspective
(-2.22%)
pleasant post processing
(0.54%)
pleasant reflection
(4.39%)
pleasant symmetry
(0.24%)
sharply focused subject
(0.22%)
tastefully blurred
(-7.15%)
well chosen subject
(1.93%)
well framed subject
(-55.71%)
well timed shot
(0.76%)
all
(-9.25%)
* 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.