A Picture Is Worth More Than 1,000 Lines of Code
summary
Survey of cloud and local computer vision options for adding image understanding to applications, comparing cloud services like Microsoft Cognitive Services and Google Cloud Vision and third-party APIs such as Clarifai with open-source libraries like OpenCV. Discusses what technologies exist, who provides them, and practical approaches for making devices’ cameras recognize and interpret the world.
AI-written summary · about
chapters (10)
- 0:00Introduction
- 2:12What is Computer Vision
- 7:54Real applications
- 11:14Computer Vision tools
- 17:35Microsoft Cognitive Services
- 18:39Google Cloud Vision API
- 24:38OpenCV introduction
- 31:03OpenCV examples
- 36:40Facial recognition
- 40:53Summary and future
related talks
01h 05mMicrosoft Cognitive Services: Making AI Easy
27mDevelop Computer Vision Apps With Go
01h 00mA lap around Microsoft Cognitive Services Vision API
44mAdding Image and Voice Intelligence to Your Apps
46mBuilding computer vision applications Q&A
20mComputer Vision: From Facial Recognition to Image Analysis
36mCloud AI Services: What they are and how to use them
54mMake Your Apps More Human with Cognitive Services
