id
related bits
0
processing priority
3
site type
0 (generic, awaiting analysis)
review version
11
html import
20 (imported)
first seen date
2024-10-14 16:32:36
expired found date
-
created at
2024-10-14 16:32:36
updated at
2024-10-14 16:32:36
length
20
crc
64912
tld
86
nm parts
0
nm random digits
0
nm rare letters
0
is subdomain of id
87719371 (github.io)
previous id
0
replaced with id
0
related id
-
dns primary id
0
dns alternative id
0
lifecycle status
0 (unclassified, or currently active)
deleted subdomains
0
page imported products
0
page imported random
0
page imported parking
0
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 bits
—
server ip
-
mp import status
20
mp rejected date
-
mp saved date
-
mp size orig
40846
mp size raw text
12922
mp inner links count
0
mp inner links status
1 (no links)
title
Synthetic Data for Computer Vision / SynData4CV-CVPR2024
description
[“CVPR 2024 Workshop”, “June, 2024”, “Seattle, United States”] / CVPR 2024 WorkshopJune, 2024Seattle, United States
site name
Synthetic Data for Computer Vision
author
updated
2026-02-14 15:09:13
raw text
Synthetic Data for Computer Vision | [“CVPR 2024 Workshop”, “June, 2024”, “Seattle, United States”] Synthetic Data for Computer Vision CVPR 2024 Workshop June, 2024 Seattle, United States Overview Invited Speakers Schedule Call for Papers Important Dates Related Workshops Organizers Overview The workshop aims to explore the use of synthetic data in training and evaluating computer vision models, as well as in other related domains. During the last decade, advancements in computer vision were catalyzed by the release of painstakingly curated human-labeled datasets. Recently, people have increasingly resorted to synthetic data as an alternative to laborintensive human-labeled datasets for its scalability, customizability, and costeffectiveness. Synthetic data offers the potential to generate large volumes of diverse and high-quality vision data, tailored to specific scenarios and edge cases that are hard to capture in real-world data. However, challenges such as...
redirect type
0 (-)
block type
0 (no issues)
detected language
1 (English)
category id
index version
1
spam phrases
0
text nonlatin
1
text cyrillic
0
text characters
10173
text words
1760
text unique words
932
text lines
260
text sentences
78
text paragraphs
35
text words per sentence
22
text matched phrases
0
text matched dictionaries
0
links self subdomains
0
links other subdomains
8 - researcher.watson.ibm.com, openaccess.thecvf.com, store.opencv.ai, cvpr2022.thecvf.com, syntheticdata4ml.vanderschaar-lab.com
links other domains
56 - research.google, skamalas.com, openreview.net, eval.ai, overleaf.com, ranjaykrishna.com
links spam adult
0
links spam random
0
links spam expired
0
links ext activities
22
links ext ecommerce
0
links ext finance
0
links ext crypto
0
links ext booking
0
links ext news
0
links ext leaks
0
links ext ugc
20 - drive.google.com
links ext klim
0
links ext generic
2
dol status
0
dol updated
2026-02-14 15:09:13
rss path
rss status
1 (priority 1 already searched, no matches found)
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 path
sitemap status
1 (priority 1 already searched, no matches found)
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
-