Purpose-built pre-trained models offer highly accurate AI for a variety of vision AI tasks.

TAO can train models for common vision AI tasks such as object detection, classification, instance segmentation as well as other complex tasks such as pose estimation, facial landmark, gaze estimation, heart rate estimation and others. Transfer learning with pre-trained models can be used for AI applications in smart cities, retail, healthcare, industrial inspection and more.īuild end-to-end services and solutions for transforming pixels and sensor data to actionable insights using TAO, DeepStream SDK and TensorRT. The pre-trained models accelerate the AI training process and reduce costs associated with large scale data collection, labeling, and training models from scratch. TAO adapts popular network architectures and backbones to your data, allowing you to train, fine tune, prune and export highly optimized and accurate AI models for edge deployment. Train Adapt Optimize (TAO) Toolkit is a python based AI toolkit for taking purpose-built pre-trained AI models and customizing them with your own data. What is Train Adapt Optimize (TAO) Toolkit?

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