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Improve AI ML Model Outcomes with Data Annotation Services

Before beginning with data annotation in machine learning, just imagineu2014how would a computer vision-based model detect a face in the photo? The only way for a smart model to detect a face in the photo is because of the other photos already existing labeled as a face.<br><br>Get in Touch: https://www.damcogroup.com/data-support-for-ai-ml<br><br>#dataannotationservices<br>#dataannotationinmachinelearning<br>#dataannotationcompanies<br>#damcosolutions

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Improve AI ML Model Outcomes with Data Annotation Services

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  1. Improve AI/ML Model Outcomes with Data Annotation Services

  2. Table Of Content • Introduction • Data Annotation in Machine Learning Techniques • Semantic Segmentation • Bounding Box • Named Entity Recognition • Conclusion

  3. Introduction Training an AI/ML model requires supervised training—it is done by leveraging the strategic combination of the human-in-loop and the latest technology. The annotators leverage certain techniques for machine learning data annotation, some of which are mentioned here.

  4. OUR COMPANY Being a seasoned data annotation services company, Damco holds expertise in catering to different industries and assisting them with data labeling for machine learning.

  5. Data Annotation in Machine Learning Techniques • Semantic Segmentation • Bounding Box • Named Entity Recognition

  6. Semantic Segmentation Semantic segmentation is also known as class segmentation, as it helps in differentiating between different classes of objects. It is great for grouping objects as it assigns the same label to each member of the object class. Apart from this, it helps in understanding the presence and location of objects.

  7. Bounding Box The bounding box is one of the most basic types of data annotation techniques. In this method, rectangles and squares are drawn around the object of interest so that it can be recognized easily. It is most helpful when the objects are relatively symmetrical or when the shape of the object isn’t important.

  8. Named Entity Recognition In this technique, words in the text are labeled with pre-defined categories like name, place, date, etc. As AI learns the keywords, machine learning models also easily understand the topic of the text; all thanks to the Named Entity Recognition (NER) method.

  9. Conclusion Any AI model is as smart as the data it is fed; therefore, ensuring that the data sets are accurately labeled is a must. Errors or inaccuracies in the data labeling process deviate from the outcomes, and harm your business rather than supplementing it. Growth-focused leaders, therefore, resort to data annotation services.

  10. Contact Us 2 Research Way, Princeton, New Jersey 08540, USA  +1 609 632 0350 info@damcogroup.com https://www.damcogroup.com/data-support-for-ai-ml

  11. Thank You

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