Visualizing training data is often essential to design a good Machine Learning model. However, generally feature dimensions are much more than three. So to get visual insight, dimensionality reduction ...
Document Segmentation Using Deep Learning in PyTorch
Document Scanning is a background segmentation problem that can be solved using various methods. It is one of the extensively used applications of computer vision. In this article, we are considering ...
Mean Average Precision (mAP) in Object Detection
Mean Average Precision (mAP) is a performance metric used for evaluating machine learning models. It is the most popular metric that is used by benchmark challenges such as PASCAL VOC, COCO, ImageNET ...
Create Snapchat/Instagram filters using Mediapipe
Introduction Why invest in make-up or trendy clothes and eyewear when Snapchat and Instagram provide filters that can make you look as wild, exotic, or beautiful as you wish, that too in a matter ...
AUTOSAR C++ compliant deep learning inference with TensorRT
If you are unfamiliar with safety compliance and are debating whether or not to read this blog post, let’s answer the most important question first. Why should you read this blog post?What can we ...
MRNet – The Multi-Task Approach
Our last post on the MRNet challenge presented a simple way to approach it. There you learned to make a separate model for each disease. And ended up with three models. Time to up your game! Now ...
