#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.
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.
Day-by-day usage
measured · mastodon.social (Mastodon public tags API) · fetched 2026-10-21 00:42 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.social (Mastodon public search API) · fetched 2026-10-21 00:42 UTCNo related tags with measured usage found for #imageclassification.
Live pulse
measured · mastodon.social (Mastodon tag timeline) · fetched 2026-10-21 00:42 UTCEverything below is measured over the latest 26 public posts (spanning ~67127 hours).
Posting hours (UTC) — busiest: 15:00
Languages: English (24) · German (2)
Avg boosts / post: 2.8
Top of the latest posts
Hướng dẫn phân loại sâu bệnh nông nghiệp với YOLOv8! Bài viết chi tiết cách chuẩn bị dữ liệu, huấn luyện mô hình và kiểm tra kết quả. Thích hợp cho người mới bắt đầu. #YOLOv8 #AgriculturalPests #ImageClassification #MachineLearning #AI #Nôn
Daniel van Strien has uploaded a dataset of 115,293 illustrated pages from the Encyclopaedia Britannica, 1st edition (1768) to 14th (1929), to the Hugging Face Hub. https://huggingface.co/datasets/biglam/britannica-illustrated-pages every p
(I think every camera manufacturer with "AI detection" is doing essentially the same thing...) Here's how you do this with TensorFlow, if you are lucky enough to have obtained a GPU for less than the cost of a car before they were all purch
#imageclassification across platforms
every network with a public tag surfaceFollow #imageclassification straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
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