Photos | Defcon 18 Crowd Working on Laptops

Will Merrick joins 15 other attendees in a packed room, each focused on their laptops, at Defcon 18. The giant projection screen shows computer hardware specs while the audience listens to seminar lectures.
BLIP-2 Description:
a group of people in a room with laptopsMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
machine room furniture desk photos/defcon floor laptop consumer hardware interior screen child projection lecture seminar tv round pc indoors accessories bag belt dc entertainment center workshop chair exit glasses building time architecture crowd monitor classroom audience seconde manufacturing table will merrick boy minute left mobile cup phone computer capture flooring handbag school hall factory design door defcon hat electronics packet
iso
1600
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/160s
camera make
Canon
camera model
lens model
date
2010-07-30T18:25:43.530000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(18.49%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.49%)
failure
(-0.29%)
harmonious color
(1.00%)
immersiveness
(0.10%)
interaction
(1.00%)
interesting subject
(-73.00%)
intrusive object presence
(-22.44%)
lively color
(-20.86%)
low light
(23.61%)
noise
(-3.66%)
pleasant camera tilt
(-14.64%)
pleasant composition
(-93.60%)
pleasant lighting
(-58.30%)
pleasant pattern
(2.22%)
pleasant perspective
(-5.29%)
pleasant post processing
(1.07%)
pleasant reflection
(-4.71%)
pleasant symmetry
(0.17%)
sharply focused subject
(0.10%)
tastefully blurred
(-6.57%)
well chosen subject
(0.91%)
well framed subject
(-64.26%)
well timed shot
(1.63%)
all
(-11.45%)
* 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.