227 datasets found

MRI reconstruction using data-driven Markov chains with Joint Uncertainty Estimation

We use the VQA v2.0 dataset for the evaluation of our proposed joint model, where the answers are balanced in order to minimize the effectiveness of learning dataset priors.

Combined dataset used for testing the proposed BNN for VPR.

Old City dataset used for testing the proposed BNN for VPR.

A dataset for mobile robotics place recognition, consisting of 3000 km journey across all four seasons.

Cross-Season sequence from RobotCar used for testing the proposed BNN for VPR.

Specific Places Dataset (SPED) used for testing the proposed BNN for VPR.

Visual Place Recognition (VPR) dataset used for testing the proposed binary neural network (BNN) for VPR.

A collection of relatively small benchmark pedestrian crowd datasets.

A curated dataset from scratch for this project to develop an AR model for specific Action Recognition task (Smart Baby Care).

The FROSTT dataset is a collection of sparse tensors, with each tensor representing a graph.

The ShapeNet55 dataset was first created by PoinTr [40]. The training set contains 41,952 objects, while test set contains 10,518 objects.

The Book-Crossing dataset is a book rating dataset that contains rating records of books by users from the Book-Crossing community.

The dataset used in this study is composed of Bluetooth Low Energy (BLE) fingerprints. BLE is a recently introduced low-power communication protocol. It was designed with the...

MIMIC-CXR-JPG dataset comprises 227,835 imaging studies conducted on 64,588 patients who sought treatment at the BIDMC Emergency Department from 2011 to 2016.

The SDI dataset is a collection of 8,000 images of defects in industrial products.

The Oxford Flower dataset is a collection of 2,000 images of flowers in 80 classes.

The CUB Bird dataset is a collection of 4,521 images of birds in 200 classes.

A driving dataset for heterogeneous multitask learning.

A novel low-light video dataset, consisting of 40 scenes with various motion scenarios under two distinct low-lighting conditions, incorporating genuine noise and temporal...