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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Moments in Time Dataset: one million videos for event understanding · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1801.03150/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1801.03150/feed.xml" rel="self" type="application/rss+xml" /><item><title>Moments in Time Dataset: one million videos for event understanding — mentioned by Mathnerd314</title><link>https://news.ycombinator.com/item?id=21309235</link><guid isPermaLink="false">urn:hackerpapers:mention:1801.03150:21309235</guid><pubDate>Mon, 21 Oct 2019 03:54:14 GMT</pubDate><description>&lt;p&gt;I looked for a bit at the MiT dataset paper (https://arxiv.org/pdf/1801.03150.pdf) and I&amp;#x27;m honestly not sure what human / general intelligence would be. There&amp;#x27;s only a single ground-truth category per video, but the categories overlap somewhat and multiple categories can apply. And the ground truth category is only 75-85% agreed upon by humans for some videos. The dataset was not constructed to have 100% performance by humans. I guess to evaluate accuracy fairly you&amp;#x27;d have to run another Amazon Turk project, where you run a classifier over the data, take the top 5 and replace the bottom one…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1801.03150/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item></channel></rss>
