Reading Time: 13 minutes Note: Link to folder with code and models’ artifacts. Here is the notebook to follow along with the post. Also,… Read More »Blurry faces: Training, Optimizing and Deploying a segmentation model on Amazon SageMaker with NVIDIA TensorRT and NVIDIA Triton

Reading Time: 8 minutes Note: Jupyter notebook here Context When I was working at Mash on application credit scoring models, my manager asked me… Read More »How much data should you allocate to training and validation?

Reading Time: 7 minutes TL;DR SageMaker Studio Lab is completely free. No credit card required for sign up. Go wild and never be woken… Read More »SageMaker Studio Lab: free AWS for learners

Reading Time: 4 minutes In this short post, I will introduce the latest addition to the IceVision library: Slided Aided Hyper Inference, also known… Read More »IceVision + SAHI: democratise small object detection

Reading Time: 9 minutes Note: link to code on GitHub. Context The trigger that originally sparked the conception of this post was the desire… Read More »Fine-tune a DeepFake video classifier: PyTorchVideo, Lightning, W&B, and Amazon SageMaker in action

Reading Time: 8 minutes Introduction In this post, I briefly dive into the fascinating domain of OCR, in a quest to examine the most… Read More »EasyOCR vs Tesseract vs Amazon Textract: an OCR engine comparison

Reading Time: 7 minutes Setting the stage The goal of this short post is to show how to use a Docker container as your… Read More »Developing inside a Docker Container in Visual Studio Code

Reading Time: 4 minutes If you haven’t committed to an open-source library yet, then you have no idea of how much you are missing.… Read More »Keypoint Detection with IceVision: my first contribution to open-source

Reading Time: 10 minutes Note: folder with all relevant code. Disclaimer: This post doesn’t contain anything revolutionary. You can find top-notch (way better than… Read More »Deploying a Fashion-MNIST web app with Flask and Docker