Photos | DefCon 18 Seminar

Pete Townshend and a crowd of 12 people gather around a table with 2 monitors and a projection screen at the DefCon 18 seminar in 2010. The room is filled with electronics, chairs, and accessories.
BLIP-2 Description:
a group of people standing around a table with a screenMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
machine room press furniture photos/defcon floor consumer hardware device screen teen de projection lecture tv seminar wristwatch indoors accessories bag video dc jewelry chair conference glasses footwear photographer camera building crowd architecture pete townshend monitor audience classroom table boy cup electrical computer flooring handbag television school defcon hat microphone electronics necklace shoe
Detected Text
iso
3200
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/13s
camera make
Canon
camera model
lens model
date
2010-08-01T18:24:37.390000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(31.05%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.57%)
failure
(-0.34%)
harmonious color
(-3.32%)
immersiveness
(0.46%)
interaction
(1.00%)
interesting subject
(-35.03%)
intrusive object presence
(-19.21%)
lively color
(-22.20%)
low light
(4.00%)
noise
(-1.51%)
pleasant camera tilt
(-8.61%)
pleasant composition
(-81.98%)
pleasant lighting
(-61.28%)
pleasant pattern
(5.37%)
pleasant perspective
(0.00%)
pleasant post processing
(-1.69%)
pleasant reflection
(0.65%)
pleasant symmetry
(0.49%)
sharply focused subject
(0.24%)
tastefully blurred
(-1.71%)
well chosen subject
(-25.85%)
well framed subject
(-36.40%)
well timed shot
(-0.45%)
all
(-10.56%)
* 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.