#ImageClassification

Live, measured metrics for the hashtag #ImageClassification from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

hashtag.org network · sponsored

Own #imageclassification

This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.

$5.00/ year · 19-character #name
Claim #imageclassification — $5.00/yr→
Annual, renews each year
Buy on hashtag.space (web3)
one-timepay once, yours for life
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
13
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 13
0.2
Avg reactions / post
Mastodon · last 13

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 02:24 UTC
0
07-21
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27

0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-27 02:24 UTC

No related tags with measured usage found for #imageclassification.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 02:24 UTC

Everything below is measured over the latest 13 public posts (spanning ~31644 hours).

Posting hours (UTC) — busiest: 11:00

00:0012:0023:00

Languages: English (12) · German (1)

Avg boosts / post: 2.7

Top of the latest posts

  • I don't have numbers, but I guess the dark number is way higher. Even higher then it was in 2019. And for companies #artificialintelligence ends by #NLP #OCR #languagetranslation or #imageclassification or #mailclassification by services pr

    Gottfried Szing :unverified:@kjoo♥ 2↻ 02022-11-14 20:17 UTCView post →

  • 🖼️ Call a spade a spade: How to deal with objects that are incorrectly/ambiguously labelled in #ML? New #RKI research from #CVPR2026 outperforms SotA methods by filtering erroneous labels with a “drainage” class. 🔗 https://cvpr.thecvf.com

    Robert Koch-Institut@[email protected]♥ 0↻ 12026-06-25 08:35 UTCView post →

  • Mark I Perceptron (1958) Mark I Perceptron은 1958년 Frank Rosenblatt가 개발한 최초의 인공지능 기계로, 3계층(감각, 연관, 반응 유닛) 구조를 갖춘 감독 학습 이미지 분류 시스템입니다. 단일 층 500~1000 뉴런으로 구성된 이 시스템은 종이 위의 기호를 위치, 회전 변형을 포함해 높은 정확도로 구분했으며, 10,000개 이상의 이미지로 학습했습니다. 당시 3초~15초의 처

    ainews@[email protected]♥ 0↻ 02026-05-07 18:42 UTCView post →

Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/imageclassification