7 datasets found

Groups: Semantic Segmentation Formats: JSON

Filter Results

  • NYUD-v2

    The NYUD-v2 dataset is a benchmark for indoor scene segmentation and depth estimation. It contains 1449 images with 4 tasks: semantic segmentation, depth estimation, surface...

  • 2D-3D-S dataset

    The 2D-3D-S dataset is an indoor dataset with multiple modalities from 2D, 2.5D and 3D domains, with instance-level semantic and geometric annotations.

  • SUN-RGBD

    The dataset is used for indoor scene understanding and contains RGB and depth images.

  • 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...

  • Replica

    The Replica dataset contains 18 various highly photo-realistic indoor environments. It provides dense-mesh, high-resolution RGBD images and a large range of instance annotations...

  • ScanNet Dataset

    The ScanNet dataset is a large-scale indoor dataset composed of monocular sequences with ground truth poses and depth images.

  • 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.