Taskonomy

Introduced by Zamir et al. in Taskonomy: Disentangling Task Transfer Learning

Taskonomy provides 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.
Source: Taskonomy

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