13 datasets found

Formats: JSON Tags: 3D Scene Understanding

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  • LEMO

    The dataset used in the paper is the LEMO dataset.

  • MultiDex

    The dataset used in the paper is the MultiDex dataset.

  • 3D Semantic Parsing of Large-Scale Indoor Spaces

    3D semantic parsing of large-scale indoor spaces.

  • SUNRGB-D

    The SUNRGB-D dataset features 5,285 training and 5,050 test samples from multiple RGB-D cameras. The dataset provides annotations for the first 37 NYUv2 semantic classes and for...

  • Street View

    Street View is a large-scale dataset of 3D scenes, consisting of millions of images taken from street-level cameras.

  • MVImgNet

    A large-scale dataset of multi-view images for 3D scene understanding.

  • LERF dataset

    The LERF dataset is a dataset for 3D scene understanding, where the goal is to reconstruct and segment 3D scenes. The dataset is constructed by capturing 360-degree views of 9...

  • LERF-Mask dataset

    The LERF-Mask dataset is a dataset for open-vocabulary 3D segmentation, where the goal is to segment anything in a 3D scene. The dataset is constructed by annotating three...

  • ScanNetV2

    The dataset used in the paper is ScanNetV2, a real-world dataset for indoor scenes. It contains 1205 training scenes and 312 testing scenes, with instance-level object bounding...

  • ScanNet-v2

    Learning from bounding-boxes annotations has shown great potential in weakly-supervised 3D point cloud instance segmentation. However, we observed that existing methods would...

  • Scannet

    The dataset used for training and testing the proposed RGBD-based obstacle avoidance system for visually impaired people.

  • Make3D

    The Make3D dataset is a small but challenging dataset for 3D object recognition and scene understanding, which consists of 134 images with aligned depth information.

  • S3DIS

    The dataset used in the paper is a real-world 3D point cloud dataset, which is used for 3D shape classification, part segmentation, and shape retrieval tasks.
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