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The Hypersim Dataset download for Linux

Free download The Hypersim Dataset Linux app to run online in Ubuntu online, Fedora online or Debian online

This is the Linux app named The Hypersim Dataset whose latest release can be downloaded as ml-hypersimsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.

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The Hypersim Dataset


DESCRIPTION

Hypersim is a large-scale, photorealistic synthetic dataset and tooling suite for indoor scene understanding research. It provides richly annotated renderings—RGB, depth, surface normals, instance and semantic segmentations, and material/lighting metadata—produced from high-fidelity virtual environments. The dataset spans diverse furniture layouts, room types, and camera trajectories, enabling robust training for geometry, segmentation, and SLAM-adjacent tasks. Rendering pipelines and utilities allow researchers to reproduce sequences, generate novel views, or extract task-specific supervision. Because the data are perfectly labeled and controllable, Hypersim is well suited for pretraining and for studying domain transfer to real imagery. The repository acts as both a dataset index and a set of scripts for downloading, managing, and evaluating on standardized splits.



Features

  • Photorealistic indoor scenes with multi-modal annotations
  • Depth, normals, instance/semantic masks, and materials/lighting
  • Reproducible rendering pipelines and camera trajectories
  • Tools for dataset download, indexing, and standardized splits
  • Strong pretraining source for geometry and segmentation tasks
  • Controls for viewpoint and scene generation to study generalization


Programming Language

Python


Categories

Deep Learning Frameworks

This is an application that can also be fetched from https://sourceforge.net/projects/the-hypersim-dataset.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.


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