PyXvis
Python Library for Computer Vision for X-ray Testing
Python implementation for all examples of image processing, pattern recognition, geometric computer vision, deep learning, simulation, etc. for Computer Vision for X-Ray Testing. Part of the book written by Domingo Mery and Christian Pieringer.
GDXray
X-ray images for X-ray testing and Computer Vision
As a service to the X-ray testing and Computer Vision communities, we collected more than 19.400 X-ray images for the development, testing and evaluation of image analysis and computer vision algorithms. The X-ray images included in GDXray can be used free of charge, for research and educational purposes only. Redistribution and commercial use is prohibited.
Xdefects
Defects and No-defects for Inspection of Castings
This is the suplmentary material of the paper presented at WACV-2017 that evaluates 24 different computer vision algorithms on a dataset of 47.520 cropped images that contains defects and no-defects in aluminum castings.
AR-LQ
Low-quality AR face images
We release of a new dataset called AR-LQ that can be used in conjunction with the well-known AR dataset to evaluate face recognition algorithms on blurred and low-resolution face images. The dataset contains five new blurred faces (at five different levels, from low to severe blurriness) and five new low-resolution images (at five different levels, from 66×48 to 7×5 pixels) for each of the hundred subjects of the AR dataset.
Face-R
Dataset for Student Attendance System
This is the database and the code for the Automated Student System that we presented at WACV 2019. The database contains full-annotaed 25 sessions of a classroom with around 70 students. The session images were taken in 15 week during a semester at the School of Engineering at the Catholic University of Chile.