564 datasets found

The dataset used for speech intelligibility prediction with DNN-based performance measures

Benchmarking robustness of deep learning classifiers using two-factor perturbation

The dataset used in the paper for network transplanting.

The dataset used in this paper is a collection of deep learning models, where each model is trained on a specific problem and evaluated on a validation set.

Automatic segmentation of medical images is a key step for diagnostic and interventional tasks. However, achieving this requires large amounts of annotated volumes, which can be...

The dataset used in the paper is a 2D dataset with 5 types: Moons, Circles, Spirals, Single Blobs, and Double Blobs.

A public dataset, available in NifTi format, for automatic liver segmentation.

The dataset used in this study for COVID-19 detection, containing laboratory parameters and chest x-ray images.

The system proposed here achieves a strong discriminative power thanks to the combination of multiple descriptors.

Elbow fracture diagnosis from X-ray images using medical knowledge-guided deep curriculum learning

The dataset used in the paper is the MyoPS dataset, which provides three-sequence Cardiac Magnetic Resonance (LGE, T2 and C0) and three anatomy masks, including myocardium...

The dataset used in the paper is ImageNet 642, a large-scale image classification dataset.

The dataset used in the paper is ImageNet 322, a large-scale image classification dataset.

The dataset used in the paper is a publicly available dataset from Kaggle, used for demonstrating the effectiveness of the Lai loss function.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a preliminary model to compute an intermediate representation and then...

The UniMiB SHAR dataset was created based on collected data from 30 participants using smartphone accelerometer.

The dataset is used for human activity recognition on mobile devices. It consists of accelerometer and gyroscope data from a Samsung Galaxy S3 smartphone.

The WISDM dataset was collected using Android based smartphones. The data captured with the embedded tri-axial accelerometer was recorded while the users performed 6 different...

Human Activity Recognition (HAR) has broad applications in various domains such as healthcare, athletic competitions, smart cities, and smart home. While researchers focus on...

The dataset includes five digital modulations that are used in modern communication systems: BPSK, QPSK, 8-PSK, 16-QAM and 64-QAM.