#rfdetr
Live, measured metrics for the hashtag #rfdetr from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #rfdetr
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.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 05:49 UTC1 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 05:49 UTCNo related tags with measured usage found for #rfdetr.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 05:49 UTCEverything below is measured over the latest 10 public posts (spanning ~11613 hours).
Posting hours (UTC)
Languages: English (7) · Russian (3)
Avg boosts / post: 0.2
Top of the latest posts
AA (@measure_plan) 컴퓨터 비전 실험 공유: 본인이 NPC가 되는 실험을 공개하며 Roboflow의 rf-detr 세그멘테이션, Mediapipe, 그리고 몇 줄의 JavaScript를 사용했다고 설명합니다(비전 기반 실시간/세그멘테이션 응용 사례). https://x.com/measure_plan/status/2024227295150362739 #computervision #roboflow #mediapipe
TAPe+ML: детекция, классификация и теперь и сегментация SOTA‑уровня в 0.1M параметров Мы собрали модель, которая одновременно решает детекцию, классификацию и сегментацию, и при этом остается радикально легче и экономичнее по ресурсам, чем
Trained a small object detection model that spots Las Vegas Metro police vehicles in real time. Runs in your browser on WebGPU and on a phone, no server. ONNX weights are up on Hugging Face. https://huggingface.co/tuxracer/las-vegas-metro-r
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/rfdetr