Data Collection and Annotation

THE CHALLENGES OF Data Collection and Annotation A lot of training data is required to develop an ML/AI model that functions as a human. The model must be trained to recognize specific objects to make decisions and take action. It is important to categorize and label the datasets for each use case properly. High-quality, human-powered annotation services can be used to enhance ML/AI algorithm 1. Managing large workforce ML and AI models require a lot of data to learn. 2. Cutting-edge technologies It takes a lot of skilled and experienced people to create high-quality, labeled data sets. 3. Falling short on consistent An accurate Data annotation platform demands high-quality data tagging 4. Not a cheap affair Annotating data is a tedious process. Although it may seem appealing to use your data annotation services, it is not the best way to grow in the future. www.fivesdigital.com

Data Collection and Annotation

Data Collection and Annotation

Presentation Transcript

Data Annotation for Classification

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Data Collection, Annotation platform, AI training data

Data Annotation Services

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