24,175 datasets found

Developing Human Connectome Project (DHCP) dataset

The dataset consists of synthetic-generated (SG) sketches of 3D trees, associated with Weber-Penn parameters generated by a dedicated Blender modelling software add-on.

The dataset used in the Generative Adversarial Exploration for Reinforcement Learning paper.

The dataset used in the Generative Adversarial Exploration for Reinforcement Learning paper.

The ASPIRE Registry dataset contains data from patients who underwent MRI and RHC within 48 hours.

A multimodal variational autoencoder for low-cost cardiac hemodynamics instability detection from CXR and ECG.

The LESS dataset contains soil spectral reflectance data.

The Brazilian Soil Spectral Library (BSSL) dataset contains soil spectral reflectance data.

The LUCAS Topoil Survey-methodology, data and results dataset contains soil spectral reflectance data.

Soil spectral reflectance is a necessary input for land surface and radiative transfer models, and can be used to infer soil properties.

The Kubric dataset offers training and validation data across various difficulty levels, featuring videos of objects interacting with each other.

The Physion dataset provides training, validation, and testing data for seven scenarios, such as dominoes and support, involving rigid-body objects colliding as well as one...

The EO-1 Hyperion dataset consists of 35 HS images gathered from NASA’s Earth Observing-1 (EO-1) mission.

The dataset used in the paper is the Atari 2600 dataset, which consists of 49 games. The dataset is used to test the Successor Uncertainties algorithm.

The dataset used in the paper is a set of environments for reinforcement learning, including CartPole, Pendulum, and LunarLander.

GPS trajectory dataset for traffic prediction, containing real-time traffic conditions and POI features of Beijing.

Visual dialog is a multi-round extension for VQA. The interactions between the image and multi-round question-answer pairs (history) are progressively changing, and the...

Visual dialog is a challenging task that requires the comprehension of the semantic dependencies among implicit visual and textual contexts. This task can refer to the relation...

The dataset for YOLOv3 training and the dataset for LSTM training.

Active domain adaptation has emerged as a solution to balance the expensive annotation cost and the performance of trained models in semantic segmentation.