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In this post, we will discuss the paper “EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks” At the heart of many computer vision tasks like image classification, object detection, segmentation,
In this post, we will discuss the theory behind Mask RCNN Pytorch and how to use the pre-trained Mask R-CNN model in PyTorch. This post is part of our series
1. Image Classification vs. Object Detection Image Classification is a problem where we assign a class label to an input image. For example, given an input image of a cat,
This post “Torchvision Semantic Segmentation,” is part of the series in which we will cover the following topics. 1. What is Semantic Segmentation? Semantic Segmentation is an image analysis procedure
Hi! This post is part of our PyTorch series. In the previous post, Pytorch Tutorial for beginners, we discussed PyTorch, it’s strengths and why you should learn it. We also
The world is evolving and so is the technology serving it. It’s crucial for everyone to keep up with the rapid changes in technology. One of the domains witnessing the
