Data annotation projects | Learning Spiral AI

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Data Annotation for Virtual Assistants: Improving Conversational AI

April 29, 2024
Manish Mohta
Data Annotation

Virtual assistants, usually present as customer support bots by artificial intelligence on websites, have become increasingly familiar in our lives. Aside from assisting visitors on sites or answering queries, these assistants help set alarms and control smart home devices. These AI-powered companions rely on a crucial element for success:...

Deep Learning and Data Annotation: Unlocking Complex Patterns

March 28, 2024
Manish Mohta
Data Annotation

Deep learning, a subfield of artificial intelligence (AI), has revolutionized numerous industries by enabling machines to learn and perform tasks traditionally requiring human intelligence. From self-driving cars to medical diagnosis, deep learning models are constantly evolving, pushing the boundaries of what’s possible. However, their success hinges on a crucial...

Implementing Active Learning Strategies in Data Annotation for ML

March 25, 2024
Manish Mohta
Data Annotation

Data is the fuel that drives machine learning models, also known as ML, but labeling that data can be a costly and time-consuming process. The methods of annotating data via manual or automation comes with its own set of limitations. That’s where active learning enters, a technique that revolutionizes...

Automated Data Annotation: Exploring AI-Powered Labeling Systems

March 23, 2024
Manish Mohta
Uncategorized

Everything related to data comes with varying degrees of complications, especially when the data is being utilized for annotation. The demand for high-quality labeled data is ever-growing. There are two ways to annotate or label data. One is via manual sources, and the other is automation. However, manually annotating...

Transfer Learning and Data Annotation: Leveraging Pre-Annotated Data for ML

February 23, 2024
Manish Mohta
Data Annotation

In the realm of machine learning, data is the supreme being. By annotating aka labeling data for image, text, video, or audio, one provides AI and ML ammunition to get any kind of task done accurately. However, acquiring and meticulously labeling vast amounts of data can be a resource-intensive...

Data Annotation Quality Control: Strategies for Ensuring Accuracy

November 23, 2023
Manish Mohta
Data Annotation

Data Annotation Quality Control: Strategies for Ensuring Accuracy In the realm of artificial intelligence and machine learning, the quality of training data is paramount. The accuracy and reliability of models heavily depend on the quality of annotated data used during the training process. Data annotation, the process of labeling...

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