课程: Understanding Generative AI in Cloud Computing: Services and Use Cases

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Data augmentation use case

Data augmentation use case

课程: Understanding Generative AI in Cloud Computing: Services and Use Cases

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Data augmentation use case

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- [Instructor] Data augmentation has gained popularity as an effective technique in machine learning and generative AI on cloud-based platforms. It's used for expanding both sides and diversity of training datasets through synthesis methods and creation processes, and increases supplementary materials for artificial intelligence models' learning stage. This is particularly useful when limited datasets resources are available due to scarcity or lack of data. Some practical applications are highlighted below, where generative AI can utilize this approach. Object detection. To help an AI model spot objects in various situations more effectively, object detection tasks often use data augmentation. Simple adjustments like scaling rotation or translation are made on existing images so that patterns learned from the altered images enable the model to recognize objects, even when they appear differently, size-wise, at slight…

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