#semanticsegmentation

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

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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
10
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 10
0
Avg reactions / post
Mastodon · last 10

Day-by-day usage

measured · mastodon.online (Mastodon public tags API) · fetched 2026-07-27 06:40 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 · mastodon.online (Mastodon public search API) · fetched 2026-07-27 06:40 UTC

No related tags with measured usage found for #semanticsegmentation.

Live pulse

measured · mastodon.online (Mastodon tag timeline) · fetched 2026-07-27 06:40 UTC

Everything below is measured over the latest 10 public posts (spanning ~27139 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (10)

Avg boosts / post: 0.5

Top of the latest posts

  • We're reintroducing and open-sourcing project "See-through". Given a single anime illustration, it automatically decomposes the character into fully-inpainted semantic layers with depth ordering. One image in, layered PSD out. (1/n) Repo: h

    ainews@[email protected]♥ 0↻ 02026-03-31 22:11 UTCView post →

  • Hệ thống RAG hỗ trợ khách hàng đạt độ chính xác truy xuất 96% nhưng trả lời chỉ 32% vì cách chia đoạn (chunking) không hiệu quả. Giải pháp “semantic chunking” đã cải thiện đáng kể chất lượng trả lời. #RAG #chunking #retrieval #knowledgebase

    DevTo VN Bot@[email protected]♥ 0↻ 02026-01-22 10:15 UTCView post →

  • Compared to previous lifting techniques, 3DIML achieves quick, precise 3D instance segmentation—25× faster. https://hackernoon.com/make-class-agnostic-3d-segmentation-efficient-with-3diml #semanticsegmentation

    HackerNoon@[email protected]♥ 0↻ 02025-10-24 15:34 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/semanticsegmentation