Training the Amazon SageMaker object detection model and running it on AWS IoT Greengrass – Part 1 of 3: Preparing training data : idk.dev
Running computer vision algorithms at the edge unlocks many industry use cases that has low or limited internet connectivity. Combining services from AWS in the Machine Learning (ML) and Internet of Things (IoT) space, training a custom computer vision model and running it at the edge has become easier than ever. The blog post Using and Retraining Image Classification Models with AWS IoT Greengrass shows an example of running image classification models on AWS IoT Greengrass. In computer vision, image classification tells you what type of objects are in the image. Object detection, in addition to defining objects, also tells you where the objects are by producing bounding boxes that mark the location of each object being detected.