Photos | Diving into Digg's Daily Delights
A computer screen capture of the news page on Digg, with various documents and webpages displayed for easy access on the monitor.
BLIP-2 Description:
a computer screen shot of the news page on diggChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
725w x 277h - (download 4k)
Usage
Dominant Color:
images hr page submitted ninjas min peek ago connect group recent hardware screen top created best allows offbeat wireless world wardriver digg hacker join ever badge business ninja facebook popular share bury known made angel monitor pics webpage customize lifestyle sports party sneak wired technology days text science diggs upcoming sheets computer tear news login comments defcon file videos entertainment exclusive electronics document gaming
Detected Text
144 2 24 30 365 5 7 a about ago allows angel as b badge be best bury business by com comments connect created customize days defcon digg diggs entertainment ever exclusive facebook gaming group hacker has hr images in join known lifestyle login made may min most news ninja ninjas offbeat party peek pics popular recent science share sneak sports submitted technology the top upcoming videos wardriver what wired wireless with world
date
2010-07-28T16:32:40-07:00
tzoffset
-25200
tzname
GMT-0700
curation
(25.00%)
highlight visibility
(1.99%)
behavioral
(10.04%)
failure
(-0.22%)
harmonious color
(1.40%)
immersiveness
(0.10%)
interaction
(1.00%)
interesting subject
(-84.91%)
intrusive object presence
(-1.34%)
lively color
(20.07%)
low light
(0.02%)
noise
(-11.11%)
pleasant camera tilt
(-13.56%)
pleasant composition
(-25.63%)
pleasant lighting
(-18.32%)
pleasant pattern
(3.34%)
pleasant perspective
(3.95%)
pleasant post processing
(-20.87%)
pleasant reflection
(-6.71%)
pleasant symmetry
(0.81%)
sharply focused subject
(0.88%)
tastefully blurred
(-2.91%)
well chosen subject
(4.52%)
well framed subject
(-8.91%)
well timed shot
(7.92%)
all
(-2.85%)
* 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.