42 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 DGCNN dataset is a 3D point cloud dataset used for object recognition and scene understanding.

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 Synthia dataset is a large-scale urban scene understanding dataset, containing 9000 samples. It is used for semantic segmentation tasks.

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...

Object recognition is arguably the most important problem at the heart of computer vision. Recently, Barbu et al. introduced a dataset called ObjectNet which includes objects in...

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.

A large-scale dataset of text and images for training next-generation language models.

A large-scale dataset of 3D objects for training next-generation image-text models.