<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>tda</author><text>Maybe someone else is also interested in some backgrounds on this &lt;a href=&quot;https:&amp;#x2F;&amp;#x2F;news.ycombinator.com&amp;#x2F;item?id=22390093&quot; rel=&quot;nofollow&quot;&gt;https:&amp;#x2F;&amp;#x2F;news.ycombinator.com&amp;#x2F;item?id=22390093&lt;/a&gt;</text><parent_chain><item><author>haditab</author><text>I believe this is exactly why pjreddie quit computer vision research. It must kill him to see such projects based off of his work.</text></item></parent_chain></comment><story><title>Yoloface-500k: ultra-light real-time face detection model, 500kb</title><url>https://github.com/dog-qiuqiu/MobileNetv2-YOLOV3#500kb%E7%9A%84yolo-face-detection</url></story>
<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>jonex</author><text>Could you elaborate? What is the problem with the linked project? Training a slightly faster, smaller and less accurate version of an existing model?</text><parent_chain><item><author>haditab</author><text>I believe this is exactly why pjreddie quit computer vision research. It must kill him to see such projects based off of his work.</text></item></parent_chain></comment><story><title>Yoloface-500k: ultra-light real-time face detection model, 500kb</title><url>https://github.com/dog-qiuqiu/MobileNetv2-YOLOV3#500kb%E7%9A%84yolo-face-detection</url></story>