#objectrecognition

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

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Own #objectrecognition

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 · 17-character #name
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card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
25
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 25
0
Avg reactions / post
Mastodon · last 25

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-28 01:14 UTC
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27
0
07-28

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 2026-07-28 01:14 UTC

No related tags with measured usage found for #objectrecognition.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 01:14 UTC

Everything below is measured over the latest 25 public posts (spanning ~58773 hours).

Posting hours (UTC) — busiest: 20:00

00:0012:0023:00

Languages: English (23) · German (1) · French (1)

Avg boosts / post: 0.7

Top of the latest posts

  • 👁️ 🤖 A study from our school reveals why humans excel at recognizing objects from fragments while AI struggles, highlighting the critical role of contour integration in human vision. #HumanVision #ObjectRecognition #ArtificialIntelligence

    EPFL@[email protected]102025-07-24 13:01 UTCView post →
  • Vanderbilt University: New study examines why some people can more easily detect AI imagery. “A new study has found that a person’s object recognition ability, or the ability to distinguish visually similar objects, can predict who can spot

    ResearchBuzz: Firehose@[email protected]002026-02-16 11:04 UTCView post →
  • 📹 Part 3 of our playlist 𝘮𝘪𝘯𝘪𝘯𝘨 𝘮𝘶𝘴𝘦𝘶𝘮 𝘭𝘢𝘣𝘦𝘭𝘴 is online! 𝐋𝐞𝐚𝐫𝐧 𝐚𝐛𝐨𝐮𝐭: -> Object-recognition with AI on the example of insects. -> Use cases of Segment Anything and Grounding DINO #WiNoDa #naturalscience #collect

    WiNoDa Knowledge Lab@[email protected]012025-07-30 13:36 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/objectrecognition