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Taskonomy
Fusion Box
Autonomous Driving
|...
许可协议: Unknown

Overview

The Taskonomy dataset consists of 3.9 Mil. Scenes, 600 Buildings, 25 Tags per Image, 1024 Resolution for taxonomy and transfer learning tasks. We provide a large and high-quality dataset of varied indoor scenes.Complete pixel-level geometric information via aligned meshes.Semantic information via knowledge distillation from ImageNet, MS COCO, and MIT Places.Globally consistent camera poses. Complete camera intrinsics.High-definition images.3x times big as ImageNet.Taskonomy: Disentangling Task Transfer Learning.Zamir, Sax*, Shen*, Guibas, Malik, Savarese.CVPR 2018 [Oral]

数据概要
数据格式
point cloud, image,
数据量
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文件大小
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| 数据量 -- | 大小 --
Taskonomy
Fusion Box
Autonomous Driving
许可协议: Unknown

Overview

The Taskonomy dataset consists of 3.9 Mil. Scenes, 600 Buildings, 25 Tags per Image, 1024 Resolution for taxonomy and transfer learning tasks. We provide a large and high-quality dataset of varied indoor scenes.Complete pixel-level geometric information via aligned meshes.Semantic information via knowledge distillation from ImageNet, MS COCO, and MIT Places.Globally consistent camera poses. Complete camera intrinsics.High-definition images.3x times big as ImageNet.Taskonomy: Disentangling Task Transfer Learning.Zamir, Sax*, Shen*, Guibas, Malik, Savarese.CVPR 2018 [Oral]

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