Published February 28, 2017
| Version v1
Dataset
Open
Improving Open Source Face Detection by Combining an Adapted Cascade Classification Pipeline and Active Learning
Creators
- 1. KU Leuven - EAVISE
- 2. Istanbul University, Faculty of Economics
Description
The EAVISE Open Source Face Detection Dataset consists of several items that were used to generate the improved frontal face detection model using LBP features and AdaBoost for OpenCV3.2.
- The annotations of the FDDB dataset, converted to the OpenCV format for doing a correct evaluation.
- The final trained model (IterativeHardPositives+ model) which is included in the OpenCV 3.2 framework.