33 datasets found

Scene coordinate regression forests for camera relocalization in RGB-D images

The dataset used for learning compact geometric features for local geometry in unstructured point clouds.

The Scene Graph Generation (SGG) dataset contains 300,000 images with 10,000 object categories.

The VolSDF dataset is used to evaluate the proposed VolSDF method for 3D scene reconstruction.

The RGB-D scenes dataset contains RGB-D images of indoor scenes with everyday-life objects.

Make3D: Learning 3D scene structure from a single still image

The dataset used in the paper is SUN Attribute, which consists of 717 classes of images with annotations.

The SEED dataset contains 15 subjects recorded while watching movie clips designated with a negative/neutral/positive emotion label.

The NSVF-Synthetic dataset is a synthetic dataset for neural sparse voxel fields.

The Argoverse 2 motion forecasting dataset contains 250,000 driving scenarios, each 11 seconds long. These scenarios cover 6 geographical regions and represent 763 total hours...

The Scan2CAD dataset contains object-level human-generated annotations. The annotations include category label, segmentation, a similar CAD model in ShapeNet, and the...

The Natural Scenes Dataset (NSD) is a large-scale fMRI dataset used for visual decoding. It features in-depth recordings of brain activities from 8 participants who passively...

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

LSUN Tower dataset is a subset of the LSUN dataset, with 708,264 images.

LSUN Dining Room dataset is a subset of the LSUN dataset, with 657,571 images.

Pyramid scene parsing network for semantic segmentation.

The SUN2012 dataset is a challenging dataset for object detection, with large cluttered scenes and small objects.

The dataset used in the paper is Places, a large dataset of 400k pairs of images from the Places 205 dataset and corresponding spoken audio captions.

ScanNetv2, ScanNet200, and Replica datasets for 3D instance segmentation

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