Photos | Wired for the Future
A look at the latest consumer electronics and machines featured on the cover of Wired magazine. The map and two mobile phones give a glimpse into the technological advancements of the time.
BLIP-2 Description:
wired magazine coverChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
1019w x 412h - (download 4k)
Usage
Dominant Color:
architecture sheets giant page exploding building gallery technica mankind find minutes mix afford hour know one x ago text space private june iphone ars fly document wiki rocket machine world race wired factory map poster electrical bounce off gadgets electronics mobile phone drink next takes tear think device phone day tech idea interesting advertisement apple consumer hours
Detected Text
1 10 1948 2 29 3 afford ago an apple ars bounce but can day drink exploding find fly for gadgets gallery giant here hour hours how idea in interesting iphone it june know mankind minutes mix next of off one out phone photo private race rocket space takes tech technica the think this to what's why wiki will wired with world x you
date
2009-06-02T22:29:54-07:00
tzoffset
-25200
tzname
GMT-0700
curation
(25.00%)
highlight visibility
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behavioral
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failure
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interaction
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interesting subject
(-91.16%)
intrusive object presence
(-4.71%)
lively color
(15.67%)
low light
(0.02%)
noise
(-4.22%)
pleasant camera tilt
(-12.23%)
pleasant composition
(-82.32%)
pleasant lighting
(-1.05%)
pleasant pattern
(1.39%)
pleasant perspective
(-3.64%)
pleasant post processing
(0.05%)
pleasant reflection
(-5.65%)
pleasant symmetry
(0.24%)
sharply focused subject
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tastefully blurred
(6.99%)
well chosen subject
(9.67%)
well framed subject
(-49.44%)
well timed shot
(-1.88%)
all
(-5.42%)
* 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.