Photos | Inside the Defense Network Operations Center

A closer look at the intricate wiring and computer hardware that powers the DOD's cyber defense network. (Photo taken in 2008)
BLIP-2 Description:
wired magazine article on the defense network operations centerMetadata
Capture date:
Original Dimensions:
674w x 923h - (download 4k)
Usage
Dominant Color:
speech first xeon employing equates bottom magazine defcon judge bullock main top backbone sections core look second inside discover switch hacking recording traffic updated pm challenge blog security cisco document hardware openbsd ever dave politics quad wired mystery crime hearing pf server network wiring categories cord extraord firewall p running electronics shape online read privacy computer hardware august filter blogs subscribe home center operations consists federal computer fiber case box electrical
Detected Text
10 16 2008 34 4 50 a and august backbone blog blogs bottom box bullock by case categories center challenge cisco consists core crime dave defcon discover employing equates ever extraord federal fiber filter firewall first from hacking hearing home in inside is judge look magazine main mystery network of online openbsd operations p pf pm politics privacy quad read recording running second sections security server shape speech subscribe switch the to top traffic updated wired with xeon
date
2008-08-12T20:12:19-07:00
tzoffset
-25200
tzname
America/Los_Angeles
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lively color
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noise
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pleasant camera tilt
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pleasant composition
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pleasant lighting
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pleasant pattern
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pleasant perspective
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pleasant post processing
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pleasant reflection
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pleasant symmetry
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sharply focused subject
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tastefully blurred
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well chosen subject
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well framed subject
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* NOTE: This image was scaled up from its original size using an AI model called GFP-GAN (Generative Facial Prior), which is a
Generative adversartial network that can be used to repair (or upscale in this case) photos, sometimes the results are a little...
weird.
* 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.