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The availability of large volumes of data is a key requirement in the development of efficient, robust, and advanced machine learning based prediction models. This paper introduces the ImageNet ...

雷锋网AI科技评论按：2017年是ImageNet挑战赛举办的最后一年，夏威夷当地时间7月26日，作为ImageNet创始人之一的李飞飞和他的学生邓嘉在CVPR 2017期间的一场workshop上做了主题演讲，他们对ImageNet 八年来所走的路做了深情回顾和总结。以下是雷锋网编辑整理。

麻省理工学院（MIT）已永久删除包含8000万张图像的Tiny Images数据集。 此举是论文《Large image datasets: A pyrrhic win for computer vision?》中的发现导致的结果。论文作者在数据集中发现了许多有危害类别，包括种族歧视和性别歧视。这是依赖WordNet名词来确定可能的类别而 ...

过去几年，数据压缩或蒸馏任务引起了人们的广泛关注。通过将大规模数据集压缩成具有代表性的紧凑子集，数据压缩方法有助于实现模型的快速训练和数据的高效存储，同时保留原始数据集中的重要信息。数据压缩在研究和应用中的重要性不可低估，因为它在 ...

ImageNet Roulette will take a stab at categorizing you, and it will fail ImageNet Roulette will take a stab at categorizing you, and it will fail is a Senior Producer on Decoder. Previously, he ...

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You can now see what you look like through the eyes of an AI. ImageNet Roulette was trained with millions of images and uses a neural network to classify pictures of people, with some 'dubious and ...