Data augmentation for Images
It’s usual that big, well-documented, and reliable datasets for training and testing some Machine Learning models are often hard to find.
Computer Vision/Machine Learning Specialist
It’s usual that big, well-documented, and reliable datasets for training and testing some Machine Learning models are often hard to find.
When trying to segment desired regions of an image, sometimes we need more than one algorithm. K-means is very often one of them.
Everyone that uses OpenCV is familiar with cv::Mat. Although some developers never heard about UMat class and its advantages.
Imagine a machine that can transform what enters it into a point in a higher-dimensional space. (more…)