24,175 datasets found

The PHOENIX-2014-T dataset is an extension of the PHOENIX-2014 dataset, which includes parallel sign language videos, gloss annotations, and spoken language translations.

The PHOENIX-2014 dataset is a publicly available German Sign Language dataset, which is the most popular benchmark for continuous Sign Language Recognition (SLR). The corpus was...

Two large OCT datasets from clinical trials on patients with neovascular age-related macular degeneration.

Kaggle US simulation & segmentation dataset is a dataset of ultrasound images, annotated with eight anatomical structures.

AbdomenCT-1K dataset is a large-scale dataset of abdominal CT scans, annotated with four anatomical structures: liver, kidney, spleen, and pancreas.

Multiple Sclerosis Lesion Segmentation dataset

Liver lesion segmentation dataset

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.