Automated Author Profile

Leite, Joao

Universidade NOVA de Lisboa Faculdade de Ciências e Tecnologia
0000-0001-6786-7360

Current S-Index

5.8

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

1.4

Average Dataset Index per dataset

Total Datasets

4

Total datasets for this author

Average FAIR Score

74.5%

Average FAIR Score per dataset

Total Citations

0

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

CUB-200-2011 Attribute Revision

This repository contains a relabeling of a subset of the Caltech-UCSD Birds-200-2011 dataset attributes.

Authors

  • Leite, Joao ;
  • Leote, Afonso ;
  • de Sousa Ribeiro, Manuel
0 Citations0 Mentions73% FAIR1.8 Dataset Index
10.5281/zenodo.163258532025

CUB-200-2011 Attribute Revision

This repository contains a relabeling of a subset of the Caltech-UCSD Birds-200-2011 dataset attributes.

Authors

  • Leite, Joao ;
  • Leote, Afonso ;
  • de Sousa Ribeiro, Manuel
0 Citations0 Mentions73% FAIR1.8 Dataset Index
10.5281/zenodo.163258522025

GTSRB-Concepts: Additional German Traffic Sign Recognition Benchmark Labels and Ontology

In this repository we provide additional labels for a subset of the German Traffic Sign Recognition Benchmark dataset (GTSRB) regarding concepts of interest defined in the 1968 Convention on Road Signs and Signals, which describes each type of traffic sign in the dataset based on visual features.

Authors

  • Leite, Joao ;
  • Leote, Afonso ;
  • de Sousa Ribeiro, Manuel
0 Citations0 Mentions79% FAIR0.3 Dataset Index
10.5281/zenodo.163264022025

GTSRB-Concepts: Additional German Traffic Sign Recognition Benchmark Labels and Ontology

In this repository we provide additional labels for a subset of the German Traffic Sign Recognition Benchmark dataset (GTSRB) regarding concepts of interest defined in the 1968 Convention on Road Signs and Signals, which describes each type of traffic sign in the dataset based on visual features.

Authors

  • Leite, Joao ;
  • Leote, Afonso ;
  • de Sousa Ribeiro, Manuel
0 Citations0 Mentions73% FAIR1.8 Dataset Index
10.5281/zenodo.163264032025