Photos | Wired Magazine Cover Featuring Stunning Wildlife Photography
This eye-catching Wired Magazine cover showcases the beauty of arthropods, insects, and mammals from the animal kingdom. The stunning sunflower adds a pop of color to the striking image.
BLIP-2 Description:
wired magazine coverChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
1010w x 421h - (download 4k)
Usage
page favorite dry gadget hyatt still nano rate sunflower wildlife poster listening rival day saturday tech best plant logout coachella word mammal insect animal rivers pm win away chance underwire file post starts little water wired microsoft peak text plaver no jibjabbin aquifers brother memes place science sheets antelope kavinsky behind mag modern arthropods mps running rss biz flower art feeds uffie advertisement tear enter document webpage
Detected Text
00 04.21.08 04.25.08 04.26.08 12 30 45 7 8 a am an and aquifers are art away behind best biz brother chance coachella d day dry enter favorite feeds for from gadget hyatt jibjabbin kavinsky listening little logout mag memes microsoft modern mps nano no peak photos place plaver pm post rate rival rivers rss running saturday science starts still tech the to uffie underwire water what's win wired with word your
date
2008-04-26T19:32:30-07:00
tzoffset
-25200
tzname
GMT-0700
overall
(11.44%)
curation
(25.00%)
highlight visibility
(2.45%)
behavioral
(70.40%)
failure
(-0.10%)
harmonious color
(2.93%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(-81.84%)
intrusive object presence
(-5.93%)
lively color
(15.63%)
low light
(0.02%)
noise
(-5.49%)
pleasant camera tilt
(-8.84%)
pleasant composition
(-76.46%)
pleasant lighting
(9.55%)
pleasant pattern
(1.10%)
pleasant perspective
(12.85%)
pleasant post processing
(2.12%)
pleasant reflection
(-4.41%)
pleasant symmetry
(0.49%)
sharply focused subject
(1.98%)
tastefully blurred
(-0.65%)
well chosen subject
(13.13%)
well framed subject
(-36.91%)
well timed shot
(16.93%)
all
(0.32%)
* 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.