- Curso de Python 3, Curso em Video - Gustavo Guanabara
- Programação Dinâmica APRENDA Python, Hallison Paz
- Git e Github para iniciantes, Git e Github para iniciantes - Willian Justen de Vasconcellos
- Curso de Git e GitHub: grátis, prático e sem usar comandos no terminal,Curso em Video - Gustavo Guanabara
- How to Use Git and GitHub, Udacity
- Computer Vision: Theory and Application - Rick Szeliski
- Multiple View Geometry in Computer Vision - Richard Hartley and Andrew Zisserman
- Higia Labs, Andre Emidio. - Instalando OpenCV C++ no Windows
- Carvalho Natalia - Instalando a OpenCV C++ no Ubuntu
- Computação Gráfica, UNIVESP
- Iniciação Científica, IMPA
- Curso Online - Processamento de Imagens (2020), IMPA
- Introduction to Computer Vision, Udacity
- Python Data Science Handbook - Jake VanderPlas
- Understanding Machine Learning - Shai Shalev-Shwartz and Shai Ben-David
- Data Mining and Machine Learning - Mohammed J. Zaki, Wagner Meira, Jr.
- Machine Learning and Big Data - Kareem Alkaseer
- OpenCV 4.4.0
- Python 3.8
- Gluon CV
- Point Cloud Library PCL 1.11
- Tensor Flow
- Pytorch
- Caffe
- Theano
- SimpleITK
- Mahotas
- Stanford University School of Engineering |Lecture Collection | Convolutional Neural Networks for Visual Recognition (Spring 2017)
- MIT A 2020 Vision of Linear Algebra, Spring 2020, MIT OpenCourseWare
- Kaggle - Computer Vision
- ImageNet
- UC Irvine
- Visual Data
- HoliCity: A City-Scale Data Platform for Learning Holistic 3D Structures
- Machine Learning and AI: Find Datasets
- MNIST
- xView
- Kinetics, Deepmind
- Open Images Dataset
- The Cityscapes Dataset
- IMDB-WIKI
- Color Names
- Stanford Dogs Dataset
- Access Waymo Open Dataset
- Berkeley Deep Drive
- Bosch Small Traffic Lights Dataset
- Traffic Lights Recognition (TLR) public benchmarks
- WPI Traffic Light Dataset
- Comma.ai Driving Dataset
- Lex Fridman
- LISA
- MPII Human Pose Dataset
- AI Resource Center
- Data for MATLAB hackers
- Machine learning datasets
- INRIA Person Dataset
- DIH: Depth Images with Humans