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 coverMetadata
Capture date:
Original Dimensions:
1019w x 412h - (download 4k)
Usage
Dominant Color:
off advertisement factory phone technica afford electrical poster ago rocket june private know takes minutes x gadgets hour tech tear giant document device building mobile phone iphone sheets fly electronics race hours mankind interesting mix next day bounce space drink wiki gallery find world consumer ars machine architecture text idea map page exploding think apple wired one
Detected Text
1 10 1948 2 29 3 apple bounce drink exploding gallery giant june mankind photo private race rocket space think technica world why wiki wired x afford ago an ars but can day find fly for gadgets here hour hours how idea in interesting iphone it know minutes mix next of off one out phone takes tech the this to what's will with you
curation
(25.00%)
highlight visibility
(2.45%)
behavioral
(70.45%)
failure
(-0.12%)
harmonious color
(0.98%)
immersiveness
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interaction
(1.00%)
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
(0.73%)
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.