Before beginning with data annotation in machine learning, just imagine—how 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. Get in Touch: https://www.damcogroup.com/data-support-for-ai-ml #dataannotationservices #dataannotationinmachinelearning #dataannotationcompanies #damcosolutions

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

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