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US 20140164232A1 (19) United States (12) Patent Application Publication (10) Pub. No.: US 2014/0164232 A1 (43) Pub. Date: Durkin et al. (54) CLOUDED DATA AUGMENTATION (71) (52) Applicant BANK OF AMERICA

How to fill out cloud-based data augmentation

How to fill out cloud-based data augmentation:

1. Firstly, gather the data that you want to augment. This can include images, videos, text, or any other type of data that you want to enhance or generate new samples from.
2. Next, choose a cloud-based data augmentation platform or tool that suits your needs. There are several options available, such as Amazon SageMaker, Google Cloud AI, or Microsoft Azure Machine Learning. Research and compare different platforms to find the one that offers the features and capabilities you require.
3. Sign up or log in to the chosen cloud-based platform and navigate to the data augmentation section. This could be a specific service or functionality within the platform or part of a machine learning toolkit provided by the platform.
4. Within the data augmentation section, follow the instructions to upload or provide access to your dataset. This typically involves specifying the location or source of your data, whether it's stored locally, in a cloud storage service, or already on the platform's infrastructure.
5. Once your data is imported, explore the various data augmentation techniques or algorithms provided by the platform. These can include but are not limited to techniques such as image rotation, cropping, resizing, or text augmentation methods like synonym replacement or sentence shuffling.
6. Customize the data augmentation options based on your specific requirements. This may involve adjusting parameters such as the degree of augmentation, the range of transformations, or any constraints you want to apply to the generated samples.
7. Test and preview the augmented data to ensure it meets your expectations. Most cloud-based platforms offer a preview feature, allowing you to inspect the augmented samples before saving or exporting them.
8. Once you are satisfied with the augmented data, save or export it in the desired format or location. This can be as a new dataset or integrated directly into your machine learning workflow.
9. Continuously iterate and refine your data augmentation process based on the results and feedback you receive during the model training or application phase.

Who needs cloud-based data augmentation?

1. Researchers in the field of machine learning and artificial intelligence who want to enhance or diversify their dataset to improve the performance and generalization of their models.
2. Data scientists and practitioners working on computer vision tasks, natural language processing, or any domain that relies on large and diverse datasets.
3. Companies or organizations employing machine learning for various applications such as image recognition, speech synthesis, or sentiment analysis, and require cost-effective and scalable data augmentation solutions.
4. Startups or small businesses with limited resources that can benefit from leveraging cloud-based platforms to access advanced data augmentation techniques without investing in expensive infrastructure or computational resources.
5. Education and research institutions that aim to provide students and researchers with accessible tools and technologies for data augmentation experiments and projects.

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What is cloud-based data augmentation?

Cloud-based data augmentation is a technique used to enhance and enrich data by leveraging cloud computing resources.

Who is required to file cloud-based data augmentation?

Companies or organizations that utilize cloud-based data augmentation techniques are required to file.

How to fill out cloud-based data augmentation?

Cloud-based data augmentation can be filled out by following the specific guidelines provided by the cloud service provider.

What is the purpose of cloud-based data augmentation?

The purpose of cloud-based data augmentation is to improve the quality and quantity of data for better analysis and decision-making.

What information must be reported on cloud-based data augmentation?

Information such as the types of augmentation techniques used, data sources, and the results obtained must be reported.

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