30 datasets

INESC TEC Research Data Repository2025 · Archive

This dataset contains images of garment items prepared for deep learning image segmentation tasks. The images were collected and organized to train, validate, and test segmentation models that can identify and isolate individual garments from the background. The data are structured into images and binary masks, but the masks can also be converted into annotation formats such as .txt or .json if re

INESC TEC Research Data Repository2025 · dataset

The IILABS 3D dataset is a rigorously designed benchmark intended to advance research in 3D LiDAR-based Simultaneous Localization and Mapping (SLAM) algorithms within indoor environments. It provides a robust and diverse foundation for evaluating and enhancing SLAM techniques in complex indoor settings. The dataset was retrived in the Industry and Innovation Laboratory (iiLab) and comprises synchr

INESC TEC Research Data Repository2024 · Text

This dataset comprises the raw atmospheric measurements collected on-board Sagres ship in the continuous monitoring campaign that followed the SAIL campaign, from May 2020 onwards. The SAIL campaign on board the iconic Portuguese tall ship NRP Sagres during its 2020 circumnavigation expedition from January to May 2020 aimed to improve the scientific understanding of the marine boundary layer throu

INESC TEC Research Data Repository2024 · Excel spreadsheet

This dataset contains images for gesture recognition, divided into two main sets: dataset0608 and data_synthetic_variab. The data was collected using a wooden hand. **dataset0608** This dataset consists of two modes: ris_random and ris_optimized. The main difference between the two subfolders is the configuration of the RIS (random or optimized). This dataset consists of four subfolders: ris_rando

INESC TEC Research Data Repository2024 · Image data

The ANODE dataset was created in the context of the ATLANTIS project and contains 18230 images collected at the ATLANTIS Test Center in Viana do Castelo, more specifically at the DURIUS buoy, designed to test robotic platforms for O&M, and at the CRAS interior pool. The images depict Cathodic Protection Systems (CPSs), namely sacrificial anodes, which serve as a shield to protect a maritime struct

INESC TEC Research Data Repository2024 · Text · unknown

The IMP-cervix dataset contains 600 cervical LEEP samples and surgical specimens, retrieved from the data archive of the IMP Diagnostics laboratory, Portugal, and were digitised with 2 Leica GT450 WSI scanners, at 40X. All cases are classified within one of the three categories: - non-neoplastic (NNeo, class 0) - low-grade squamous intraepithelial lesion (LSIL, class 1) - high-grade squamous intra

INESC TEC Research Data Repository2024 · dataset

Optical Fiber Tweezers (OFT) can be used to study manifestations of light-matter interactions and deduce properties of micron-sized bioparticles trapped within its laser beam center. For this purpose, an innovative approach was previously co-invented on our group named iLoF - intelligent Lab on Fiber, based on optical signal processing obtained from an OFT system with very relevant results. In thi

INESC TEC Research Data Repository2024 · Archive

The Durius Aerial Dataset with Diversified Information (DADDI) was acquired using an Unmanned Aerial Vehicle (UAV), the RAVEN, equipped with an heterogeneous perception system, the TriOPS, during an inspection mission of the DURIUS offshore floating structure. DURIUS is a moored floating structure that consists of a decommissioned Catenary Anchor Leg Mooring (CALM) buoy designed to simulate the fl

INESC TEC Research Data Repository2024 · Text · unknown

The IMP-CRS 2024 dataset contains 5333 colorectal biopsy and polypectomy slides, retrieved from the data archive of IMP Diagnostics laboratory, Portugal, digitised at 40X by 2 Leica GT450 WSI scanners. All cases are classified within one of the three categories: - Non-neoplastic (label 0) - Low-grade lesions (label 1) - conventional adenomas with low-grade dysplasia - High-grade lesions (label 2)

INESC TEC Research Data Repository2023 · Text

Project SAIL aimed to improve the scientific understanding of the marine boundary layer by means of a unique monitoring campaign on board the iconic Portuguese tall ship NRP Sagres during its 2020 circumnavigation expedition. This dataset comprises the pre-processed atmospheric measurements from the SAIL campaign. It is derived from the raw measurements (https://doi.org/10.25747/b2ff-kg31) by appl

INESC TEC Research Data Repository2023 · Table · CSV

Meteorological data over the Atlantic Ocean collected onboard the NRP Sagres ship. The file includes as columns: 1. date (yyyy-mm-dd) 2. time (HHMM) 3. Latitude (DD° M.M) 4. Latitude suffix (N or S) 5. Longitude (DDD° M.M) 6. Longitude suffix (E or W) 7. QNH - Query Nautical Height (mbar) 8. temperature - dry (ºC) 9. temperature - wet (ºC) 10. Dew point (ºC) 11. Relative humidity (%) 12. Water tem

INESC TEC Research Data Repository2023 · Archive

The analysis of chest radiography imaging is of paramount importance for healthcare institutions since it is one of the most used imaging modalities for patient diagnosis, management and follow-up. In recent years, several studies have demonstrated that automatic algorithms, namely using deep learning, can successfully detect and segment the anatomical structures seen in chest radiography images,

INESC TEC Research Data Repository2022 · Archive

Measurements of underwater gamma radiation and environmental parameters performed at Krasnohorska cave (Slovakia) during a field campaign in the framework of PT-SK bilateral project RADCAMIN (RADon in Caves and MINes – Portuguese and Slovak case studies). The high-resolution measurements (every 1-second) are performed with an innovative sensor developed by INESC TEC in order to be able to measure

INESC TEC Research Data Repository2022 · Image data

**Access to the videos is currently restricted due to legal considerations. Thank you for your interest and understanding.** BlanketSet consists of 405 RGB-IR-D videos recorded with an Azure Kinect of people in a hospital bed performing 8 different movement sequences with different blankets, speeds, lighting conditions, hand positions, and blanket initial positions. Each recording was repeated 3 t

INESC TEC Research Data Repository2022 · Image data

PhysioIntent database was acquired during the master thesis at INESC TEC. The dataset was built to research human movement intention through biosignals (electromyogram (EMG), electroencephalogram (EEG) and electrocardiogram (ECG)) using the Cyton board from openBCI [1]. Inertial data (9-axis) was also recorded with a proprietary device from INESC TEC named iHandU [2]. A camera, logitech C270 HD, w

INESC TEC Research Data Repository2022 · Table · CSV

Chest radiography (CXR) can be used as a complementary method for diagnosing/following COVID-19 patients. However, experience level and workload of technicians and radiologists may affect the decision process. In order to evaluate the performance of radiologists in the detection of COVID-19 radiological features in CXR, manual annotation of a subset of random CXR images was performed by two radiol

INESC TEC Research Data Repository2022 · Archive

In the context of the MSc dissertation "The Multi-Object Tracking with Multimodal Information for Autonomous Surface Vehicles", an annotated and classified maritime dataset was created in order to train a machine learning object detector. This dataset combines images from open-source datasets (such as the Singapore Maritime Dataset and the Kaggle Boat Types Recognition Dataset) while adding data c

INESC TEC Research Data Repository2021 · dataset

Project SAIL aimed to improve the scientific understanding of the marine boundary layer by means of a unique monitoring campaign on board the iconic Portuguese tall ship NRP Sagres during its 2020 circumnavigation expedition. The campaign focused on the measurement of the atmospheric electric field over the ocean, and on the study of space-driven interactions via the detailed monitoring of gamma,

INESC TEC Research Data Repository2021 · Table · CSV · unknown

Meteorological data over the Atlantic Ocean collected onboard the NRP Sagres ship. The file includes as columns: 1) day (dd) + month abbreviated name 2) time (HHMM) 3) Latitude (DD° M.M) 4) Latitude sufix (N or S) 5) Longitude (DDD° M.M) 6) Longitude sufix (E or W) 7) QNH - Query Nautical Height (mbar) 8) temperature - dry (ºC) 9) temperature - wet (ºC) 10) Dew point (ºC) 11) Relative humidity (%)

INESC TEC Research Data Repository2021 · dataset

Data from underwater gamma radiation measurements under controlled conditions (ongoing monitoring). The measurements are performed with the purpose of studying background gamma radiation under stable environmental conditions. The fact that measurements are performed underwater (in a research tank, at a depth of about 2m) reduces environmental fluctuations (particularly temperature) and also remove

INESC TEC Research Data Repository2020 · dataset

The ROAM@CRAS dataset was acquired using an Autonomous Surface Vehicle (ASV), the SENSE, equipped with a set of incorporated sensors for perceiving the surface and underwater domains (Velodyne VLP-16, Mynt Eye D and Imagenex ”Delta T” 837B) as well as navigation sensors such as L1/L2 RTK, GPS and IMU. This dataset was acquired during a campaign of the project DIIUS (Distributed perceptIon for insp

INESC TEC Research Data Repository2020 · Text

In the context of the MSc thesis entitled "A Machine Learning Approach for Predicting Docking-based Structures", the dataset denominated DOcking-based stRuctures dAtaset (DORA) was created to provide information for the training of a Deep Learning Network which aimed to detect any docking platforms present in unstructured maritime environments. The dataset was acquired in 3D simulator Gazebo. Diff

INESC TEC Research Data Repository2019 · Text

Information from field surveys performed during 2007, specifically targeting the detection of the endemic daffodil _Narcissus cyclamineus_ DC. in the hydrographic basinf of River Coura. Includes records of confirmed presences, absences and an assessment of the abundance (expressed as an estimation of the number of inidividuals observed) for the species accross the hydrographic basin. Selection of

INESC TEC Research Data Repository2019 · dataset

The dataset comprises a set of images that includes different man-made objects considered critical in underwater operations. Anchors, buoy, chain, flutuation module, 3D marker, mine and pipeline were selected to represent some common objects that are presented in water scenarios. The data were acquired with a monocular camera in diverse conditions of the luminosity and perspectives of the objects.

INESC TEC Research Data Repository2018 · Archive

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 Detec