17 datasets found

Formats: JSON Tags: 3D object recognition

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  • NAVI

    A dataset of 3D objects, consisting of 36K image pairs with diverse backgrounds, lighting conditions and camera models.

  • Rel3D

    Rel3D is a large-scale dataset of human-annotated spatial relations in 3D. It consists of spatial relations situated in synthetic 3D scenes, making it possible to extract rich...

  • 3D Object Recognition

    3D object representation dataset

  • Relational CLEVR

    Relational CLEVR is a synthetic dataset of rendered 3D objects of various colours, shapes, sizes and textures.

  • Positional CLEVR

    Positional CLEVR is a synthetic dataset of rendered 3D objects of various colours, shapes, sizes and textures.

  • YCB-V dataset

    The YCB-V dataset is used for testing the class-adaptive object detector. It contains 33 objects with a large number of occurrences.

  • CO3D

    The dataset used for evaluating latent-space interpolation algorithms for variational autoencoders.

  • MPI3D

    MPI3D is a benchmark dataset that consists of 1,036,800 examples of 3D objects from three different domains: Toy, RealisticC, and Real.

  • NYUv2 dataset

    The NYUv2 dataset is a large-scale dataset for 3D object recognition and semantic segmentation. It contains 206 test set video sequences with 135 classes.

  • 3D-Chairs dataset

    3D-Chairs dataset consists of 30,000 training and 10,000 testing samples.

  • B3DO

    The NYU Depth V2 dataset contains two sub-datasets: labeled dataset and raw dataset. The raw dataset consists of 249 training scenes and 215 test scenes captured with Microsoft...

  • MVTec ITODD

    The MVTec ITODD dataset is a dataset for 3D object recognition in industry.

  • ScanObjectNN

    Zero-shot learning (ZSL) aims to classify objects that are not observed or seen during training. It relies on class semantic description to transfer knowledge from the seen...

  • ModelNet10

    3D Convolutional Neural Networks are sensitive to transformations applied to their input. This is a problem because a voxelized version of a 3D object, and its rotated clone,...

  • 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.

  • ShapeNetCore

    The ShapeNetCore dataset is a large-scale 3D model dataset, containing 44,000 3D models and 13 categories.

  • ModelNet40

    Point cloud registration is a crucial problem in computer vision and robotics. Existing methods either rely on matching local geometric features, which are sensitive to the pose...
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