All about Core ML models in production — Core ML is new machine learning framework from Apple. It brings machine learning models to Apple devices and makes it easy for developers to take an advantage of ML. We can use a dozen of models prepared by Apple or convert the open-sourced model from popular ML frameworks like Keras…

New homepage, millions of classifications and powerful backend features almost ready for beta access. — August was connected with scaling. We are fascinated with how many calls we received and how AWS helped us to scale. We also finished a new homepage. Architecture redesign with Kubernetes As a small startup we started lightweight and now we are getting to the point when scaling is the most painful and joyful…

Backend updates, increasing number of calls and image upload via URL — It has been a busy month in our Prague office. Two new team members joined us and we are at full throttle to get rid of the BETA label. We experienced a couple of service outages connected to scaling and increasing number of API calls. Send image as URL This month we added a…

Tips for developers building image recognition solution with small dataset Machine learning is still young but it becomes highly available to developers. Apple Vision SDK, Google Tensorflow or Vize image classifier make it easy to train custom recognition models. While running a vision platform I get many questions and we…

Human analogy to describe machine learning in image classification — I could point to dozens of articles about machine learning and convolutional neural networks. Every article describes different details. Sometimes too many details are mentioned and so I decided to write my own post using the parallel of machine learning and the human brain. I will not touch any mathematics…

Recognize images using Vize Classifier API — Today I will show how to set and test custom image classification engine using Vize.ai — Custom image classification API. We will prepare dataset, upload images, train classifier and test our classifier in the web interface. We need no coding experience unless we want to build API in our project…

How to plan computer vision features and choose the right provider — Earlier, I wrote a post about the difference between general and custom computer vision platforms. Today I would like to focus on real world use-case. Lets dive into image recognition features planning. Imaginary use-case We are running a small business to sell colourful socks. We want to add a “Socks Matching Engine”…

New Preview feature in Vize app, no code required. — No more testing using Postman or python script. We want our vision service to be easy to use. With new Vize Preview feature you can test your custom models on different devices. No code required! Simply share and present your model to colleagues and coworkers. We made it easy to test and share your API. Just click on Preview button after your task is trained and upload image. You can access Preview on both mobile and desktop device. Take a picture on your phone, Drag and drop on desktop.

New opportunities in food industry automation and science — Automotive, electronic manufacturing, mechanical engineering are always searching for a way to automate repeating tasks. In this post, I want to mention three segments where current progress in AI enabled new forms of automation. Why is machine learning good for industries? Because not every part of the process is precise…