Category: Computer Vision

This article describes how to use deep learning and spatial transformer networks to reduce distortions in images. We will be using the PyTorch deep learning framework. ...

This article describes the concept of Spatial Transformer Networks in deep learning and computer vision. The readers will also get hands-on coding experience by applying the concepts using PyTorch framework. ...

In this article, readers will get to know how to use the Faster RCNN object detector pretrained on the COCO dataset for object detection. Readers will get to detect objects in images and videos using the PyTorch deep learning framework. ...

This article explains the different evaluation metrics for deep learning object detection techniques. These include Average Precision (AP), Intersection over Union (IoU), and mean Average Precision (mAP) ...

Many beginners in the field of computer vision and deep learning start with image classification. After exploring much deep learning image classification techniques, datasets, and architectures, they want to try something more exciting and challenging. And most of them move towards deep learning for object detection. But soon they realise that there are numerous techniques […] ...