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GTC ON-DEMAND

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Abstract:
Data labeling can be the most laborious and costly phase of a data-modeling project. Often subject matter experts spend an absurd amount of time manually and painstakingly labeling images and videos for classification or object detection. Even the most cautious expert can make mistakes. Data labeling doesn't have to be this hard. We'll show how using GPUs for unique data-labeling techniques such as auto-labeling, continuous learning, video labeling, and data augmentation, and we'll show how these techniques save time and money by eliminating manual labeling.
Data labeling can be the most laborious and costly phase of a data-modeling project. Often subject matter experts spend an absurd amount of time manually and painstakingly labeling images and videos for classification or object detection. Even the most cautious expert can make mistakes. Data labeling doesn't have to be this hard. We'll show how using GPUs for unique data-labeling techniques such as auto-labeling, continuous learning, video labeling, and data augmentation, and we'll show how these techniques save time and money by eliminating manual labeling.  Back
 
Topics:
Deep Learning & AI Frameworks, AI & Deep Learning Research
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9310
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