一位用户分享了他们于2019年创建的个人人脸识别模型，大约在Google推出Teachable Machine之时。他们在浏览旧的GitHub仓库时重新发现了这个项目，并将其作为对早期工作的一次怀旧回顾。 AI
排序理由 用户生成内容，关于个人、非商业项目。
AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →
用户分享怀旧的2019年人脸识别模型
本文如何被排名
- Signal score
- 0 / 100
- Composite score across the factors below. Higher = stronger signal that this story matters right now.
- Newsworthiness bucket
- Meme
- 用户生成内容，关于个人、非商业项目。
- Source corroboration
- Single-source cluster
- Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
- Topics
- other
- Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
- AI-industry relevance
- Low
- Off-topic or adjacent — cluster remains reachable but doesn't surface in AI-industry rankings.
- Story freshness
- 164 days old
- Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.
完整方法见我们的编辑标准。
报道来源 [1]
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我的 Teachable Machine 怎么样？？🙃 [P]
<!-- SC_OFF --><div class="md"><p>Guyz, dont judge, but the followed link is of <strong>my</strong> face recognition model whixh i made back in 2019, yeah, just at the time when Teachable Machine was just launched and started to gain hype. I randomly found this when i deep dived …