Last year Custom Vision was released to classify your own objects on images. Yesterday at Build 2018 a new Project Type was added to enable Object Detection in images. In this blog we are going to take a closer look and see what this new feature can do. Detect multiple objects in an image and draw boxes around these objects. As for every Machine Learning project you need a dataset, Kaggle is a great resource for that and I have downloaded The Simpsons dataset. This dataset contains around 7000 images including a CSV file with the coördinates where they are on the pictures.

Recently I added some cool stuff to my home automation platform using computer vision, serverless code and MQTT. When you have kids, you know they leave doors open. This does not have to be a big problem, except when there are bikes unlocked in the backyard. After all: we don't want them to be stolen! I have a Home Automation platform running, but I don't want to equip my bikes with sensors.

Artificial Intelligence (AI) has emerged as one of the most disruptive forces behind the digital transformation of business. Our mission is to bring AI to every developer and every organization on the planet, and help businesses augment human ingenuity in unique and differentiated ways. Developers and data scientists are at the heart of driving this innovation force and we are committed to providing them the best tools to make them successful. These include tools for automating machine learning through the pre-built AI capabilities we offer for vision, speech, language, knowledge and search in Microsoft Cognitive Services. In November, at Microsoft Connect () 2017, I announced expanding AI tools and resources for developers and data scientists on Azure and described how the Microsoft AI platform enables a rich variety of application scenarios.