24,175 datasets found

The ORES dataset is a machine learning-based web service for Wikimedia projects such as Wikipedia. It provides a model for detecting damaging edits.

PASCAL-Part is a dataset for semantic part segmentation. It contains images of cars and horses with annotated part segmentation masks.

The Twitter multimodal dataset consists of 24k samples of the tweet, image, and image attributes. The dataset is divided into the training set, validation set, and test set in...

The cardiac dataset is a dataset of MRI images acquired from 100 subjects, with 10 images per subject, using 32 channels and 3T MRI scanner.

TUD-Brussels pedestrian dataset

ETH pedestrian dataset

The dataset used in this paper is a collection of snapshots of the Kuramoto-Sivashinsky equation (KSE) experiencing random jet actuations.

This paper tackles a novel problem: how to transfer knowledge from the emerging Segment Anything Model (SAM) to learn a compact panoramic semantic segmentation model, i.e.,...

The VCTK dataset is a large corpus of speech recordings, each containing a single speaker and a single sentence.

The LJSpeech dataset is a collection of audio recordings of a single female speaker reading aloud.

FastSpeech 2 is a fast and high-quality end-to-end text-to-speech system. It uses a multi-task learning approach to learn the mapping between phonemes and waveforms.

FastDiff is a fast conditional diffusion model for high-quality speech synthesis. It employs a stack of time-aware location-variable convolutions with diverse receptive field...

The dataset used in the paper for image classification, object detection, and face verification tasks.

ImageNet-10 is a dataset of 10,000 224x224 color images in 10 classes, with 1,000 images per class.

The FULL1 and FULL2 datasets are subsets of the Oxford RobotCar dataset, with longer route lengths.

The LOOP1 and LOOP2 datasets are subsets of the Oxford RobotCar dataset, with shorter route lengths.

The dataset used in the paper to evaluate the influence of graph elements on the parameter changes of GCNs without needing to retrain the GCNs.

The dataset used in the paper to evaluate the influence of graph elements on the parameter changes of GCNs without needing to retrain the GCNs.

The dataset used in the paper to evaluate the influence of graph elements on the parameter changes of GCNs without needing to retrain the GCNs.

The dataset used in the paper is a series of datasets introduced in [46], comprising large corpora of product reviews crawled from Amazon.com. Top-level product categories on...