Automated Author ProfileMeneghetti , Douglas de Rizzo
Centro Universitario FEI0000-0002-0478-467x
Meneghetti , Douglas de Rizzo
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 10.4 (sum of 6 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Annotated image dataset of household objects from the RoboFEI@Home teamThis data set contains two sets of pictures of household objects, created by the RoboFEI@Home team to develop object detection systems for a domestic robot.The first data set was created with objects from a local supermarket. Product brands are typical from Brazil. The second data set is composed of objects from the RoboCup@Home 2018 OPL competition.The data set contains the basic resources for the creation of custom object detection systems. Users can use the provided annotated images to train their own models and validate them in a set of test images, or they can analyze the inference time of the proposed methods in the provided videos.Example videos of detection systems trained with this data set can be found in the following links:https://www.youtube.com/watch?v=Py6_qG52EYQhttps://www.youtube.com/watch?v=fXJYmJOaSxQ
Authors
- Meneghetti, Douglas De Rizzo ;
- Domingues, Pedro Henrique Silva ;
- Perez, Bruno de Freitas Vece ;
- Meyer, Thiago Spilborghs Bueno ;
- Cardoso, Kimberlin Kariny Gonçalves ;
- de Lima, Amanda Maciel ;
- Gonbata, Marina Yukari ;
- Pimentel, Fagner de Assis Moura ;
- Aquino Junior, Plinio Thomaz
Annotated image dataset of household objects from the RoboFEI@Home teamThis data set contains two sets of pictures of household objects, created by the RoboFEI@Home team to develop object detection systems for a domestic robot.The first data set was created with objects from a local supermarket. Product brands are typical from Brazil. The second data set is composed of objects from the RoboCup@Home 2018 OPL competition.The data set contains the basic resources for the creation of custom object detection systems. Users can use the provided annotated images to train their own models and validate them in a set of test images, or they can analyze the inference time of the proposed methods in the provided videos.Example videos of detection systems trained with this data set can be found in the following links:https://www.youtube.com/watch?v=Py6_qG52EYQhttps://www.youtube.com/watch?v=fXJYmJOaSxQ
Authors
- Meneghetti, Douglas De Rizzo ;
- Domingues, Pedro Henrique Silva ;
- Perez, Bruno de Freitas Vece ;
- Meyer, Thiago Spilborghs Bueno ;
- Cardoso, Kimberlin Kariny Gonçalves ;
- Maciel, Amanda ;
- Gonbata, Marina Yukari ;
- Pimentel, Fagner de Assis Moura ;
- Aquino Junior, Plinio Thomaz
Annotated image dataset of household objects from the RoboFEI@Home teamThis data set contains two sets of pictures of household objects, created by the RoboFEI@Home team to develop object detection systems for a domestic robot.The first data set was created with objects from a local supermarket. Product brands are typical from Brazil. The second data set is composed of objects from the RoboCup@Home 2018 OPL competition.The data set contains the basic resources for the creation of custom object detection systems. Users can use the provided annotated images to train their own models and validate them in a set of test images, or they can analyze the inference time of the proposed methods in the provided videos.Example videos of detection systems trained with this data set can be found in the following links:https://www.youtube.com/watch?v=Py6_qG52EYQhttps://www.youtube.com/watch?v=fXJYmJOaSxQ
Authors
- Meneghetti, Douglas De Rizzo ;
- Domingues, Pedro Henrique Silva ;
- Perez, Bruno de Freitas Vece ;
- Meyer, Thiago Spilborghs Bueno ;
- Cardoso, Kimberlin Kariny Gonçalves ;
- Maciel, Amanda ;
- Gonbata, Marina Yukari ;
- Pimentel, Fagner de Assis Moura ;
- Aquino Junior, Plinio Thomaz
Annotated image dataset of household objects from the RoboFEI@Home teamThis data set contains two sets of pictures of household objects, created by the RoboFEI@Home team to develop object detection systems for a domestic robot.The first data set was created with objects from a local supermarket. Product brands are typical from Brazil. The second data set is composed of objects from the RoboCup@Home 2018 OPL competition.The data set contains the basic resources for the creation of custom object detection systems. Users can use the provided annotated images to train their own models and validate them in a set of test images, or they can analyze the inference time of the proposed methods in the provided videos.Example videos of detection systems trained with this data set can be found in the following links:https://www.youtube.com/watch?v=Py6_qG52EYQhttps://www.youtube.com/watch?v=fXJYmJOaSxQ
Authors
- Meneghetti, Douglas De Rizzo ;
- Domingues, Pedro Henrique Silva ;
- Perez, Bruno de Freitas Vece ;
- Meyer, Thiago Spilborghs Bueno ;
- Cardoso, Kimberlin Kariny Gonçalves ;
- de Lima, Amanda Maciel ;
- Gonbata, Marina Yukari ;
- Pimentel, Fagner de Assis Moura ;
- Aquino Junior, Plinio Thomaz
Annotated image dataset of household objects from the RoboFEI@Home teamThis data set contains two sets of pictures of household objects, created by the RoboFEI@Home team to develop object detection systems for a domestic robot.The first data set was created with objects from a local supermarket. Product brands are typical from Brazil. The second data set is composed of objects from the RoboCup@Home 2018 OPL competition.The data set contains the basic resources for the creation of custom object detection systems. Users can use the provided annotated images to train their own models and validate them in a set of test images, or they can analyze the inference time of the proposed methods in the provided videos.Example videos of detection systems trained with this data set can be found in the following links:https://www.youtube.com/watch?v=Py6_qG52EYQhttps://www.youtube.com/watch?v=fXJYmJOaSxQ
Authors
- Meneghetti, Douglas De Rizzo ;
- Domingues, Pedro Henrique Silva ;
- Perez, Bruno de Freitas Vece ;
- Meyer, Thiago Spilborghs Bueno ;
- Cardoso, Kimberlin Kariny Gonçalves ;
- de Lima, Amanda Maciel ;
- Gonbata, Marina Yukari ;
- Pimentel, Fagner de Assis Moura ;
- Aquino Junior, Plinio Thomaz
Dataset with images of soccer ball acquired by a humanoid robot competing in the RoboCup Humanoid Kidsize League.
Authors
- Bianchi, Reinaldo Augusto da Costa ;
- perico, Danilo Hernani ;
- Homem, Thiago Pedro Donadon ;
- da Silva, Isaac Jesus ;
- Meneghetti , Douglas de Rizzo