24,167 datasets found

The dataset used for training the minimalist approach to offline reinforcement learning.

The dataset used for training the Dreamer model.

The MineCLIP dataset is a large-scale dataset of Minecraft demonstrations.

The dataset used for training the dm_control environment.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a combination of reinforcement learning and generative models to solve...

The Daimler pedestrian benchmark dataset is a dataset for pedestrian classification.

A dataset of 67 tracked cells was built from these experiments (Feillet et al., 2014), giving rise to fluorescence levels trajectories with high inter-cell variability and noise.

Inferring chemical reaction networks (CRN) from concentration time series is a challenge encouraged by the growing availability of quantitative temporal data at the cellular level.

The HARUSP dataset is a common dataset in the field of human activity recognition. It contains data from six types of activities: walking, man+Activity+Recognition+Using+Sma and...

Activity recognition has become a popular research branch in the field of pervasive computing in recent years. A large number of experiments can be obtained that activity...

Nudity content identification module (NCIM) for identifying explicit content in input images.

Portrait stylization framework that incorporates a nudity content identification module (NCIM) and a skin-tone-aware portrait stylization module (STAPSM).

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used the OpenImages dataset to train their models.

Real-world data collected from the Interlock House, a smart home designed to perform as a net-zero energy house

Synthetic multivariate data generated using the Vector Autoregressive (VAR) process

Real-world benchmark suites for testing algorithm selection wizards

Benchmark suites for testing algorithm selection wizards

Algorithm selection wizard for black-box optimization, using automated algorithm configuration methods

The dataset used in the paper is the ImageNet dataset for image classification and the CACD dataset for face identification.

Bengali handwritten word segmentation dataset