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Deep learning has revolutionized many scene perception tasks over the past decade. Some of these improvements can be attributed to the development of large labeled datasets. The creation of such datasets can be an expensive, time-consuming, and is an imperfect process. To address these issues,…
The main features of geomagical/geosynth are: Scene Understanding Datasets.
Open-source alternatives to geomagical/geosynth include: apple/arkitscenes — This repo accompanies the research paper, ARKitScenes - A Diverse Real-World Dataset for 3D Indoor Scene Understanding… facebookresearch/replica-dataset — The Replica Dataset is a dataset of high quality reconstructions of a variety of indoor spaces. Each reconstruction… zillow/zind — The Zillow Indoor Dataset (ZInD) provides extensive visual data that covers a real world distribution of unfurnished…
This repo accompanies the research paper, ARKitScenes - A Diverse Real-World Dataset for 3D Indoor Scene Understanding Using Mobile RGB-D Data and contains the data, scripts to visualize and process assets, and training code described in our paper.
The Replica Dataset is a dataset of high quality reconstructions of a variety of indoor spaces. Each reconstruction has clean dense geometry, high resolution and high dynamic range textures, glass and mirror surface information, planar segmentation as well as semantic class and instance…
The Zillow Indoor Dataset (ZInD) provides extensive visual data that covers a real world distribution of unfurnished residential homes. It consists of primary 360º panoramas with annotated room layouts, windows, doors and openings (W/D/O), merged rooms, secondary localized panoramas, and final…