OpenCV

Assessing the Severity of Acne via Cell Phone Selfie Images Using A Deep Learning Model

February 5, 2019 Feb 5, 2019 02/5/19

Hang Zhang

Nestlé Skin Health partnered with Microsoft to develop a deep learning model powered mobile app able to assess acne severity using only uploaded selfie images as a source.

Using Otsu’s method to generate data for training of deep learning image segmentation models

May 17, 2018 May 17, 2018 05/17/18

Clemens Wolff

In this article, we introduce a technique to rapidly pre-label training data for image segmentation models such that annotators no longer have to painstakingly hand-annotate every pixel of interest in an image. The approach is implemented in Python and OpenCV and extensible to any image segmentation task that aims to identify a subset of visually distinct pixels in an image.

Communicating with Man’s Best Friend, Part I – Dog Tracking

July 21, 2015 Jul 21, 2015 07/21/15

Anthony Turner

With the arrival of commodity depth-capable cameras, specifically, the Microsoft Kinect, as well as high-performance machine learning algorithms, entirely new capabilities are made possible. Working with academic experts and others, we are attempting to track the movements, body language, and vocalizations of dogs.

ISE Developer Blog

OpenCV - ISE Developer Blog

Assessing the Severity of Acne via Cell Phone Selfie Images Using A Deep Learning Model

Using Otsu’s method to generate data for training of deep learning image segmentation models

Communicating with Man’s Best Friend, Part I – Dog Tracking