15 Works

Urban@CRAS

Ana Rita Gaspar
The dataset was acquired at Porto, one of the most iconic city of Portugal. It were obtained diverse trajectories in different type of scenarios - around of the costal zone of Matosinhos and in a highway - with a moving car. The dataset provides diverse sensor information mainly by high resolution cameras, LIDAR, GPS and IMU devices installed in the roof of a car from the INESC TEC and provides realistic insights of urban road...

Gamma radiation from INESC TEC station (Porto). Ongoing, updated monthly.

Susana Barbosa
The dataset consists on measurements of the total number of gamma rays counted by a NaI(Tl) scintillator on the roof of INESC TEC main building.

Retinal Blood Vessel Caliber Estimation in Eye Fundus Images

Teresa Araújo, Ana Maria Mendonça & Aurélio Campilho
This application allows the user to measure the average width of a chosen blood vessel in a retinal image. After uploading an image, the program automatically segments the blood vessels in the image, and extracts individual vessel segments (by removing junctions). The user then clicks on the segment to be analysed, and the program processes that segment via a model fitting and random forests-based approach to retrieve the average width of that vessel segment. The...

UrbanSense environmental monitoring.

Ana Cristina Costa Aguiar
The UrbanSense project is the environmental monitoring part of the Smart City initiative at the city of Porto, Portugal. This dataset contains observational data collected at 23 locations: Rua das Flores; Damião de Góis; Reitoria; Praça do Marquês-pole1; Combatentes; Estádio do Dragão; Bolhão-pole1; Avenida de França; Casa da Música; Trindade; Castelo do Queijo; Anemona; Campo Alegre; D.Manuel II; Praça da Galiza; Hospital de S.João; Congregados; Cândido dos Reis; Praça da Liberdade (Cardosas); 24 de Agosto...

Gamma radiation data from ENVRIplus TNA campaign RELECT at SMEAR II – HYYTIÄLÄ multi-disciplinary RI platform.

Susana Barbosa
Gamma radiation measurements in counts/minute (cpm) every 5-minutes.

Electric field data from ENVRIplus TNA campaign RELECT at SMEAR II – HYYTIÄLÄ multi-disciplinary RI platform.

Susana Barbosa
Vertical electric field measurements (in V/m), 1-min averages.

Red Lesion Endoscopy Dataset

António Cunha
This dataset contains 2 subsets of anonymized video capsule endoscopy images with annotated red lesions. Folder "Set 1" has 3,295 non-sequential frames in sub-folder "A" and the corresponding annotated masks in sub-folder "B"; Similarly, folder "Set 2" has 600 sequential frames. All frames are 320x320 pixels wide. This dataset was used in the article "A Deep Learning Approach for Red Lesions Detection in Video Capsule Endoscopies" published at ICIAR 2018 to evaluate deep learning U-Net...

Music streaming and playlisting activity from music streaming service.

João Vinagre
This dataset is taken from the portuguese music social network "Palco Principal", that gathers non-mainstream musicians with fans. The website allows free music streaming and users can organize their favorite music tracks in personal playlists. The dataset consists of three files. Two of them are music streaming logs (one line per play), and one file is a music track playlisting log (users adding music tracks to their personal playlist).

Albergaria Fire Fighters ECG 2010

Joana Paiva & João Paulo Cunha
Monitoring of Albergaria Firefighters ECG during emergency events during the summer of 2010 and correspondent event labels.

Atmospheric electric field from INESC TEC station (Porto). Ongoing, updated monthly.

Susana Barbosa
The dataset consists on 1-min measurements of the atmospheric electric field by a CS110 field mill installed on the roof of INESC TEC main building.

Radon data from ENVRIplus TNA campaign RELECT at SMEAR II – HYYTIÄLÄ multi-disciplinary RI platform.

Susana Barbosa
Radon concentration measurements (in Bq/m3) every 2-hours.

Bioimaging Challenge 2015 Breast Histology Dataset.

Teresa Araújo, Guilherme Aresta, Eduardo Castro, José Rouco, Paulo Aguiar, Catarina Eloy, António Polónia & Aurélio Campilho
This dataset contains breast histology images from four classes: normal, benign, in situ carconima and invasive carcinoma. A trained Convolutional Neural Network for the classification of these images is also available. To access the dataset please request your password via the link http://bioimglab.inesctec.pt/?page_id=893 and fill the form. Users of this dataset should cite the following article: Teresa Araújo, Guilherme Aresta, Eduardo Castro, José Rouco, Paulo Aguiar, Catarina Eloy, António Polónia, and Aurélio Campilho, Classification of...

Radon concentration (Bq.m-3) from INESC TEC station (Porto). Ongoing, updated monthly.

Susana Barbosa
The dataset consists on measurements every 6-hours of radon concentration on the roof of INESC TEC main building.

Tackling Class Imbalance with Ranking.

Ricardo Cruz, Kelwin Fernandes, Jaime S. Cardoso & Joaquim F. Pinto Costa
The dataset comes originally from UCI Machine Learning. The multiclass datasets were transformed in binary classification as mentioned in the paper. Ranking methods were applied to improve class imbalance. The datasets are divided in 30 folds so that other class imbalance methods can be compared to the methods in the paper. The code used in the paper is also provided.

Registration Year

  • 2018
    14
  • 2019
    1

Resource Types

  • Dataset
    15

Data Centers

  • INESC TEC
    15