13 datasets found

Formats: JSON Tags: indoor scenes

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  • LayoutNet

    The LayoutNet dataset is a collection of 360-degree images of indoor scenes.

  • SUNCG

    The SUNCG dataset is a large dataset of 3D indoor scenes with missing objects. The dataset is used to evaluate the performance of scene augmentation and context-based object...

  • Scannet: Richly-annotated 3D reconstructions of indoor scenes

    Scannet: Richly-annotated 3D reconstructions of indoor scenes.

  • 3DMatch

    The 3DMatch [26] is a well-known indoor registration dataset of 62 scenes captured by RGBD sensor.

  • NYU-Depth V2

    The NYU-Depth V2 dataset contains pairs of RGB and depth images collected from Microsoft Kinect in 464 indoor scenes.

  • 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 and ArkitScenes

    The dataset used in the Point2Pix paper, containing point clouds and camera parameters for indoor scenes.

  • Habitat

    The Habitat dataset is a large-scale indoor simulator dataset containing 145 semantically-annotated indoor scenes.

  • NTIRE2018-Dehazing challenge dataset

    The NTIRE2018-Dehazing challenge dataset contains indoor and outdoor hazy images.

  • RESIDE dataset

    The RESIDE dataset contains both synthesized and real-world hazy/clean image pairs of indoor and outdoor scenes.

  • NYUv2

    Multi-task learning (MTL) research is broadly divided into two categories: one is to learn the correlation between tasks through model structures, and the other is to balance...

  • SUN RGB-D

    RGB-D scene recognition approaches often train two standalone backbones for RGB and depth modalities with the same Places or ImageNet pre-training. However, the pre-trained...

  • LSUN

    The dataset used for training and validation of the proposed approach to combine semantic segmentation and dense outlier detection.
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