Exploring Bounding Boxes and Different Annotation Formats in Object Detection
Bounding boxes play a critical role in the object detection process, a fundamental task in computer vision. Object detection entails the identification and precise localization of objects…
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Large File Transfer using TCP Socket in Python
File transfer has been one of many tasks in socket programming. In this article, we will discuss how to transfer large files using TCP sockets in Python….
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What is MultiResUNET?
MultiResUNET is an architecture developed by Nabil Ibtehaz et al. for the purpose of multimodal biomedical image segmentation at the Bangladesh University of Engineering and Technology. It…
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What is Intersection over Union (IoU) in Object Detection?
Intersection over Union (IoU) is a popular evaluation metric used in the field of computer vision and object detection. It is used to calculate the overlap between…
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Human Face Detection using Multi-task Cascaded Convolutional Networks in TensorFlow
In recent years, advances in machine learning and deep learning techniques have revolutionized the field of computer vision. With the help of these techniques, we can now…
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[Paper Summary] Class-Aware Adversarial Transformers for Medical Image Segmentation
Transformer-based models have shown remarkable progress in the field of medical image segmentation. However, the existing methods still suffer from limitations such as loss of information and…
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What is U2-Net or U-square Net
U2-Net is a simple and powerful architecture designed for the purpose of salient object detection (SOD). It is a two-level nested U-shaped architecture built using the proposed…
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Simple Object Detection with Bounding Box Regression in TensorFlow
Object detection is a fundamental task in computer vision that involves identifying and locating objects within an image or video. In this post, we will be discussing…
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TensorFlow vs PyTorch
TensorFlow and PyTorch are both popular open-source frameworks for building and training machine learning models. Both frameworks have their own strengths and weaknesses, and the choice between…
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Implementing Linear Regression in TensorFlow
TensorFlow is a powerful library for machine learning that allows for the easy implementation of various algorithms, including linear regression. In this tutorial, we will be using…
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