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Category: Data Science

link to Food Detection Using Python and LogMeal API

Food Detection Using Python and LogMeal API

Image recognition is now being used in plenty of real-world applications. In the food industry, artificial intelligence (AI) and image recognition can be used to detect food to automatically remove...

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link to Introduction to Mask R-CNN

Introduction to Mask R-CNN

In recent years, there has been significant progress in the field of object identification and semantic segmentation. The Fast/Faster R-CNN and Fully Convolutional Network (FCN) frameworks have...

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link to Introduction to Faster RCNN

Introduction to Faster RCNN

Generally, region selection was typically performed using a method called "Selective Search," as was the case in Fast RCNN. However, this process can be time-consuming. Faster RCNN was developed to...

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link to Introduction to Fast RCNN

Introduction to Fast RCNN

Fast R-CNN is a state-of-the-art object detection algorithm that is widely used in the field of computer vision. It is a fast and accurate method for detecting objects in images or videos. Fast R-CNN...

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link to Introduction to Spatial Pyramid Pooling (SPP-net)

Introduction to Spatial Pyramid Pooling (SPP-net)

Deep convolutional neural networks (CNNs) have revolutionized the field of computer vision, thanks to their ability to learn complex features from large amounts of training data. However, one...

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link to Introduction to Region-based Fully Convolutional Networks (R-FCN)

Introduction to Region-based Fully Convolutional Networks (R-FCN)

The meaning of R-FCN is "Region-based Fully Convolutional Networks". Artificial intelligence is used mainly for motion and object detection, including detecting an object's position in an image or...

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About Me

Hi, I’m Ashwin Joy. I’m a Computer Science and Engineering graduate who is passionate about programming and technology. Pythonista Planet is the place where I nerd out about computer programming. On this blog, I share all the things I learn about programming as I go.

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