Main

type

0 (not classified)

status

21 (imported old-v2, waiting for another import)

review version

0

cleanup version

0

pending deletion

0 (-)

created at

2025-10-13 23:33:11

updated at

2025-10-13 23:33:12

Address

url

https://aidisruption.ai/p/nvidia-open-sources-describe-anything

url length

63

url crc

57399

url crc32

1430970423

location type

1 (url matches target location, page_location is empty)

canonical status

10 (verified canonical url)

canonical page id

2719662082

Source

domain id

344632653

domain tld

660

domain parts

0

originating warc id

-

originating url

https://data.commoncrawl.org/crawl-data/CC-MAIN-2025-33/segments/1754151281008.23/warc/CC-MAIN-20250812234112-20250813024112-00995.warc.gz

source type

11 (CommonCrawl)

Server response

server ip

172.64.151.232

Publication date

2025-08-13 00:56:21

Fetch attempts

0

Original html size

165381

Normalized and saved size

53019

Content

title

excerpt

content

"AI Disruption" Publication 6000 Subscriptions 30% Discount Offer Link.You say what you can't, and the large model says it for you.Image captioning has long been a challenge in the fields of computer vision and natural language processing, as it involves understanding and describing visual content in natural language.While recent vision-language models (VLMs) have achieved remarkable results in generating image-level captions, generating detailed and accurate descriptions for specific regions within an image remains an unresolved issue.This challenge is particularly pronounced in the video domain, where models must additionally capture dynamic visual content, such as human actions, object movements, and interactions between people and objects.To address these issues, researchers from NVIDIA, UC Berkeley, and other institutions have introduced the Describe Anything Model (DAM).This is a powerful multimodal large language model capable of generating detailed descriptions of specific regi...

author

Meng Li

updated

1763518873

Text analysis

block type

0

extracted fields

36

extracted bits

article author
full content

detected location

0

detected language

1 (English)

category id

Zastosowania AI (149)

index version

2025110801

paywall score

0

spam phrases

0

Text statistics

text nonlatin

0

text cyrillic

0

text characters

1495

text words

266

text unique words

160

text lines

51

text sentences

11

text paragraphs

4

text words per sentence

24

text matched phrases

1

text matched dictionaries

2