Creating data-centric solutions for intelligent product finding and product recommendation — What is a visual search model? Visual search models are machine learning models, most often neural networks that are used in reverse image search engines and similarity search systems like finding the similar face of a person or fashion product. You can find image search engines everywhere on e-commerce fashion platforms like Zalando or eBay, to…

Building Object Detection on drone and satellite images — Analysing the content made by drones, satellites or airplanes are becoming more and more common. The camera quality on publicly available drones and satellites is so good that a lot of industries are starting to use them. …

Insights with building custom object detection models for large machine learning projects — Over time, we at Ximilar worked on many challenging projects incorporating object detection. Training and deployment of the model alone is nowadays possible in a matter of minutes. You can simply upload your data and click a few buttons to train and deploy your model as an API. Nowadays, the…

Simple tutorial for detecting microcontrollers on data from Kaggle competition — Standart libraries as TensorFlow or PyTorch don’t provide any simple way to train your custom Object Detection models. Most of the time you need to install a big library as Detectron 2 or Tensorflow Object Detection API. Don’t get me wrong, these libraries are powerful but often requires a lot…

AI will change all possible fields whether it is physics, law, or retail and one should be prepared for what is to come… — Half of this crazy year is behind us and summer is here. Over the years, we machine learning engineers at Ximilar have gathered a lot of interesting ML/AI material from which we draw. I have chosen the best ones from podcasts to online courses that I recommend to listen to…

Why every fashion site should embrace Machine Learning, how to work with taxonomy and data and how you can build an image recognition system with Flows — In this post, I will show you how you can build your Fashion recognition system. I will focus on footwear however this approach can be applied also on other Apparel. This approach is suitable not only in the Fashion domain. The great news is that this tutorial is code-free!

The game-changing feature that makes deep learning more accessible. Solving computer vision problem of Screw & Nut recognition with hierarchical classification. — Nowadays, there are a lot of companies that are doing AI/Machine Learning. For example, many blue-chip companies are integrating their own machine learning solutions to their cloud. …

Making your networks to learn faster in TensorFlow 2+ — There are still a lot of models that use Batch Normalization layers. If you would like to do transfer learning on such models, you can have a lot of problems. It was much easier to finetune AlexNet or VGG as they do not contain batch norm layers. …

A technique to make CNN models less prone to errors and more accessible for developers — One of the most common mistakes which are novice machine learning practitioners doing is forget to normalize input images. No wonder! Every model requires different input normalization when you are doing Transfer Learning. VGG, for example, requires to subtract this vector [123.68, 116.779, 103.939] from the RGB image. MobileNetV2 requires…