Taskonomy

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Taskonomy

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]

Dataset Attributes

Label SVG
CategoriesTransfer, Learning, Taxonomy, Task, Deep, Indoor, 3D, Mesh, Pose, Camera, High-Resolution