Main

processing priority

4

site type

0 (generic, awaiting analysis)

review version

11

html import

27 (unknown)

Events

first seen date

2024-03-10 16:55:42

expired found date

-

created at

2024-06-22 12:55:00

updated at

2026-02-07 14:22:07

Domain name statistics

length

19

crc

47920

tld

2644

nm parts

0

nm random digits

0

nm rare letters

0

Connections

is subdomain of id

-

previous id

0

replaced with id

0

related id

-

dns primary id

19918253

dns alternative id

0

lifecycle status

0 (unclassified, or currently active)

Subdomains and pages

deleted subdomains

0

page imported products

0

page imported random

0

page imported parking

0

Error counters

count skipped due to recent timeouts on the same server IP

0

count content received but rejected due to 11-799

0

count dns errors

0

count cert errors

0

count timeouts

0

count http 429

0

count http 404

0

count http 403

0

count http 5xx

0

next operation date

-

Server

server bits

server ip

-

Mainpage statistics

mp import status

27

mp rejected date

-

mp saved date

-

mp size orig

3951

mp size raw text

1245

mp inner links count

0

mp inner links status

20 (imported)

Open Graph

title

Imaginary Number

description

Imaginary Number: Solving Complex Problems

site name

author

Imaginary Number (Evan Shelhamer)

updated

2026-02-06 16:44:31

raw text

Imaginary Number - Evan Shelhamer Imaginary Number Imaginary Number is Evan Shelhamer: research scientist in vision and learning and open-sourceror. I earned my PhD in Computer Science at UC Berkeley in 2019 advised by Trevor Darrell as a member of Berkeley AI Research . Earlier on, I earned dual degrees in computer science (artificial intelligence concentration) and psychology at UMass Amherst advised by Erik Learned-Miller . I like to solve problems in artificial intelligence and scientific prototyping: research for computer vision and machine learning, and hacking, adapting, and deploying open-source research code. I have over ten years’ experience in research and development for computer vision and machine learning and served as the lead developer of the Caffe deep learning framework from version 0.1 to 1.0. Feel free to write or check out...

Text analysis

redirect type

0 (-)

block type

0 (no issues)

detected language

1 (English)

category id

AI [en] (229)

index version

2025123101

spam phrases

0

Text statistics

text nonlatin

0

text cyrillic

0

text characters

868

text words

155

text unique words

92

text lines

39

text sentences

7

text paragraphs

2

text words per sentence

22

text matched phrases

4

text matched dictionaries

3

RSS

rss path

rss status

0 (new)

rss found date

-

rss size orig

0

rss items

0

rss spam phrases

0

rss detected language

0 (awaiting analysis)

inbefore feed id

-

inbefore status

0 (new)

Sitemap

sitemap path

sitemap status

0 (new)

sitemap review version

2

sitemap urls count

0

sitemap urls adult

0

sitemap filtered products

0

sitemap filtered videos

0

sitemap found date

-

sitemap process date

-

sitemap first import date

-

sitemap last import date

-