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:
architecture packet door boy classroom building will merrick defcon lecture chair child mobile hat left furniture entertainment center flooring exit design manufacturing bag projection capture hardware machine desk hall glasses indoors factory audience time school pc belt interior round electronics screen photos/defcon table room accessories monitor dc seconde handbag minute laptop seminar workshop phone tv cup floor computer crowd consumer
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.