Medical Data Annotation: Key to Healthcare Innovation
In today's rapidly evolving healthcare landscape, the intersection of medical expertise and artificial intelligence offers unprecedented opportunities for improving patient care. At the heart of this transformation lies medical data annotation – a critical process that transforms raw healthcare data...
iMerit Alternatives For Data Annotation-Aya Data
The success of any AI project starts with data – choosing the right data annotation partner is key to unlocking its full potential. iMerit, an established data annotation provider, uses a blend of automated and manual processes to deliver dependable...
The Art of the Dataset
Artists working with AI face multiple decisions during their creative process. Typically, they need to come up with a compelling concept, find a relevant dataset, choose a suitable algorithm and curate the generated images for display. Each stage offers plenty...
Crowdsourcing Vs. Managed Service Vs. In-House Labeling
Labeled data is required for all supervised machine learning projects. Labels are added to raw data, such as images, text, audio, and video, in order to train algorithms to map inputs to outputs. If training is successful, the model will...
Manual Vs. Automated Data Labeling
As demands increase for high-quality, large-scale training datasets, data labeling has become an increasingly important function within AI. Manually labeling training data is labor-intensive and can be difficult and expensive (see our guide to data labeling here), but is automatic...
Is Synthetic Training Data the Future of Machine Learning?
Even as the availability of processing power increases exponentially, and machine learning algorithms are commoditized, there is a problem that persistently slows the development of complex AI: obtaining high-quality, accurate training data. All supervised machine learning algorithms require training data,...
6 Reasons Why an eCommerce Business Cannot Function Without Data Labeling
eCommerce is one of the world’s largest industries, forecast to account for 22% of all global retail sales by the end of 2023. The infrastructure required for smooth and efficient eCommerce has evolved to support this growth. Online shops are now extremely...
Definitive Guide to Computer Vision in AI
Artificial intelligence (AI) has risen from a fringe concept in sci-fi to one of the most influential technologies conceived. Building systems that can understand visual information has been a cornerstone of AI research and development. This allows machines to ‘see’...
What Is the Role of Opinion Mining/Sentiment Analysis in NLP?
Natural language processing (NLP) is one of the cornerstones of artificial intelligence (AI) and machine learning (ML). NLP aims to teach computers to process and analyze large amounts of human language data. One of the primary applications of NLP is...
What Is Audio Transcription and How Does It Relate to Data Labeling?
Audio transcription is the process of converting unstructured audio data, such as recordings of human speech, into structured data. Artificial intelligence (AI) and machine learning (ML) algorithms require structured data to perform various tasks involving human speech, including speech recognition,...