#VS2019 – ML.NET Model Builder for Object Detection, be careful with file names and VoTT

Hi ! This is a sequel part after yesterday post on the new Model Builder Object Detection scenario. I’ve found this error, and it took me some time to figure out the reason. As usual, an error on the Model Builder, with very few details and the suggestion to check more details on the Azure…… Continue reading #VS2019 – ML.NET Model Builder for Object Detection, be careful with file names and VoTT

#VS2019 – ML.NET Model Builder for Object Detection using #Azure Compute #mlnet #objectdetection

Hi ! There is a new scenario available in ML.Net Model Builder for Visual Studio 2019: Object Detection. This scenario is not just image tagging, this scenario allows us to detect objects in an image, and get the specific coordinates and size of the detected objects. As usual, it requires a starting data set with…… Continue reading #VS2019 – ML.NET Model Builder for Object Detection using #Azure Compute #mlnet #objectdetection

#Coding4Fun – How to control your #drone with 20 lines of code! (11/N)

Hi! Today code objective is very simple: The drone is flying very happy, but if the camera detects a banana, the drone must land ! Let’s take a look at the program working: And a couple of notes regarding the app Still use Haar Cascades for object detection. I found an article with a Xml…… Continue reading #Coding4Fun – How to control your #drone with 20 lines of code! (11/N)

#Windows10 – Windows Vision Skills (Preview), an amazing set of AI APIs to run in the edge!

Hi! Today’s announcement is a big one if you are interested on move AI capabilities to the Edge. The Windows team make public the preview of Windows Vision Skills framework: Windows Vision Skills framework is meant to standardize the way AI and CV is put to use within a WinRT application running on the edge.…… Continue reading #Windows10 – Windows Vision Skills (Preview), an amazing set of AI APIs to run in the edge!