NVIDIA's TAO Toolkit provides a framework for fine-tuning popular computer vision models using your own data. In this tutorial, we'll be demonstrating how to use Roboflow to curate a high-quality computer vision dataset to use with NVIDIA's TAO Toolkit.
Benefits to Existing ModelsPolygons have traditionally been used for training image segmentation models, but polygons can also improve the training of object detection models (which predict bounding boxes). Object detection
Polygons have traditionally been used for training image segmentation models, but they can also improve the training of object detection models. Object detection models are typically much faster and more widely supported, so they're still the best choice for solving many problems.
Constrained bandwith? Left without the option to extend production data beyond your local network or corporate firewall? In need of real-time inference speeds on the edge? The Roboflow Mobile iOS SDK is a great option if you are developing an iOS application.
TensorFlow is Google's open source machine learning framework. They released it for the purposes of making it simpler and easier to implement machine learning models whether for natural language processing,