Loss Functions for Computer Vision Models Choosing an appropriate loss function is important as it affects the ability of the algorithm to produce optimum results as fast as possible. Continue Reading →
Comparing Image Annotation Types by Computer Vision Use Cases The most important thing that the computer vision expert does is to decide which annotation type is needed to build the most accurate model(s). Continue Reading →
A Definitive Guide To Build Training Data for Computer Vision I have briefly written about the ways you can start gathering training data. This depends majorly on the use case you plan to work on. Continue Reading →
Comparing the Top Computer Vision APIs for OCR Sunday Afternoon. You come across a magazine ad for solitaires, but it is the model wearing a perfect white sundress that catches your attention. What if you could take a picture of the dress and upload it, so an app could help you find a dress just like that one? Continue Reading →
