The technique of recovering high-resolution (HR) pictures from low-resolution (LR) photos is known as image super-resolution (SR). It is a significant class of image processing algorithms in computer vision and image processing, with several real-world applications including medical imaging, satellite imaging, surveillance and security, and astronomical imaging. Deep learning-based SR…

Hey Everyone, In today’s blog, we will work on a Kaggle notebook that focuses on analyzing temperature variations, creating models to predict minimum and maximum Temperature, and Finally deploying the best model on TrueFoundry. So, Let’s get started. Introduction Today we are going to work on the Seoul Temperature dataset. Seoul…

Ever imagined you’ll be able to add colors to your old captured memories? These memories can be anything like a picture of your parents in the 70s, an image taken from an old camera, or your sketch. With the advancements in Deep Learning technologies, this is possible. …

Automated pipelines are something that a lot of individuals and companies are using these days. These pipelines based on certain rules and instructions can do things without or a very minimal Human Interference. These automated pipelines can be anything. For Example, Training a model and deploying that trained model so…

Have you ever wondered how Google Lens, Google Image Search, and Bing Image Search work? All these tools have a few techniques in common, the technique they use is known as Image Similarity; it is a process in which multiple images are compared and most similar photos based on rank…

Everyone enjoys music. We can all agree that music is universal, regardless of which type we prefer. What is it about music that captivates us so much? Maybe it’s because music has the power to stir up strong emotional reactions in us. Consider this: We can all recall at least…

Did you Know? Every day we are generating 2.5 quintillion that is 2.5 e+9 GB bytes of data. Google processes 3.5 billion requests per day Amazon has hosted 1,000,000,000 gigabytes of data across more than 1,400,000 servers. With this humongous amount of data, there is a need of classifying the data for our…

OCR is an abbreviation for Optical Character Recognition. OCR is used for converting images of text into machine-encoded text. It is a process of converting images of typed, handwritten, or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene photo (for example…

We are in the 21st Century where everyone is busy in their small world. We don’t have time to read Large articles, texts, posts, or news. That is why we are always looking for something which can be understood at a glance while commuting, having coffee, or walking. Due to…