#instancesegmentation

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

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1
Uses / 7 days
Mastodon
1
Accounts / 7 days
Mastodon
3
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 3
0
Avg reactions / post
Mastodon · last 3

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 06:05 UTC
0
07-21
0
07-22
1
07-23
0
07-24
0
07-25
0
07-26
0
07-27

1 uses by 1 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 06:05 UTC

No related tags with measured usage found for #instancesegmentation.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 06:05 UTC

Everything below is measured over the latest 3 public posts (spanning ~994 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (3)

Avg boosts / post: 0

Top of the latest posts

  • Muhammad Rizwan Munawar (@muhammdrizwanmr) Ultralytics YOLO26로 건축 평면도 이미지의 벽·문·복도·방 등을 인스턴스 세그멘테이션해 비정형 CAD 도면을 구조화된 공간 데이터로 변환하는 활용 사례입니다. 문서 비전 파이프라인을 부동산·건설·시설 관리 데이터화에 적용하는 예시이지만, 학습 데이터·모델 성능·코드 등 재현 가능한 기술 세부사항은 트윗에 제시되지 않았습니다. https:

    ainews@[email protected]♥ 0↻ 02026-07-23 08:55 UTCView post →

  • Ultralytics (@ultralytics) Ultralytics가 YOLO26으로 인스턴스 세분화(instance segmentation) 학습을 지원한다고 알렸습니다. 객체를 픽셀 단위 마스크로 검출·분할할 수 있어 시각 검사, 장면 이해, 고급 컴퓨터 비전 애플리케이션에 활용 가능합니다. https://x.com/ultralytics/status/2076704484244209908 #ultralytics #yolo #

    ainews@[email protected]♥ 0↻ 02026-07-13 23:45 UTCView post →

  • Ultralytics (@ultralytics) Ultralytics Platform에 Retail Stall Segmentation 데이터셋이 공개되었습니다. 이미지 1,200장과 2,867개 어노테이션으로 구성된 인스턴스 세그멘테이션 데이터셋이며, 리테일 인텔리전스, 공간 활용, 판매대 배치 분석 등에 활용될 수 있습니다. https://x.com/ultralytics/status/2065116964167545315 #da

    ainews@[email protected]♥ 0↻ 02026-06-11 22:51 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/instancesegmentation