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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Roboflow 100: A Rich, Multi-Domain Object Detection Benchmark · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2211.13523/</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/2211.13523/feed.xml" rel="self" type="application/rss+xml" /><item><title>Roboflow 100: A Rich, Multi-Domain Object Detection Benchmark — mentioned by yeldarb</title><link>https://news.ycombinator.com/item?id=34192709</link><guid isPermaLink="false">urn:hackerpapers:mention:2211.13523:34192709</guid><pubDate>Sat, 31 Dec 2022 02:10:18 GMT</pubDate><description>&lt;p&gt;Thanks for sharing @jonbaer! I’m one of the co-founders of Roboflow. Some additional resources and context: * Blog Post: https://blog.roboflow.com/roboflow-100/ * Paper: https://arxiv.org/abs/2211.13523 * Github: https://github.com/roboflow-ai/roboflow-100-benchmark At Roboflow, we&amp;#x27;ve seen users fine-tune hundreds of thousands of computer vision models on custom datasets. We observed that there&amp;#x27;s a huge disconnect between the types of tasks people are actually trying to perform in the wild and the types of datasets researchers are benchmarking their models on. Datasets like MS COCO (with…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2211.13523/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item><item><title>Roboflow 100: A Rich, Multi-Domain Object Detection Benchmark — mentioned by yeldarb</title><link>https://news.ycombinator.com/item?id=33788605</link><guid isPermaLink="false">urn:hackerpapers:mention:2211.13523:33788605</guid><pubDate>Tue, 29 Nov 2022 15:19:51 GMT</pubDate><description>&lt;p&gt;* Blog Post: https://blog.roboflow.com/roboflow-100/ * Paper: https://arxiv.org/abs/2211.13523 * Github: https://github.com/roboflow-ai/roboflow-100-benchmark At Roboflow, we&amp;#x27;ve seen users fine-tune hundreds of thousands of computer vision models on custom datasets. We observed that there&amp;#x27;s a huge disconnect between the types of tasks people are actually trying to perform in the wild and the types of datasets researchers are benchmarking their models on. Datasets like MS COCO (with hundreds of thousands of images of common objects) are often used in research to compare models&amp;#x27; performance…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2211.13523/"&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>
