Training Datasets
- Majority of images (shared privately with UC3M users due to diverse licenses): Drive
- PAL Robotics logo: Dropbox
- Cocacola can: "DISEÑO E IMPLEMENTACIÓN DE UN SISTEMA DETECTOR DE OBJETOS PARA EL ROBOT ASIBOT", Autor: Raúl Sánchez Álvarez, Tutor: Alberto Jardón Huete. Director: Juan Carlos González Víctores. Leganés, Marzo de 2011.
- OpenCV models
Additional Info
Bottle of water
Bottle HAAR training.
Positive images: 1100
Negative images: 1300
Number of stages: 8
Car
Car HAAR training.
Positive images: 2000
Negative images: 2500
Number of stages: 20
Chair
Chair HAAR training.
Positive images: 240
Negative images: 350
Number of stages: 15
Clock
Clock HAAR training.
Positive images: 1300
Negative images: 2100
Number of stages: 20
Cup
Cup HAAR training.
Positive images: 350
Negative images: 500
Number of stages: 21
Dog
Dog HAAR training.
Positive images: 1300
Negative images: 2100
Number of stages: 20
Lamp
Lamp HAAR training.
Positive images: 220
Negative images: 500
Number of stages: 15
Lemon
Lemon HAAR training.
Positive images: 1200
Negative images: 1300
Number of stages: 6
Sofa
Sofa HAAR training.
Positive images: 250
Negative images: 500
Number of stages: 18
Tv
TV HAAR training.
Positive images: 1300
Negative images: 2100
Number of stages: 19
