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In this workshop, you will learn how to use less data for performant AI models. You will see this in action through real-world computer vision implementations, such as object detection and anomaly detection use cases, optimization processes, and deployment at the edge.
Learn how to use less data for performant AI models.
Learn how to use less data for performant AI models and how the open source OpenVINO toolkit can help reduce the gap between theoretical models and real-world implementations.
Scale up yourself with lighting talks, anomaly detection use cases, optimization processes, related to AI models and machine learning.
Hear from industry experts such as Paula Ramos, AI evangelist at Intel; Vishal Rajput, AI vision engineer at Skybase.
Voxel51 is an AI software company that enables machine learning and computer vision scientists to rapidly curate and experiment with their datasets in order to build higher performing machine learning systems.
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