How to Get Training Data for Machine Learning or AI Development?
Data is the
key input in machine learning or AI development, hence it become the
most concerning factor for machine learning engineers to collect the
most relevant and best quality of datasets to develop a successful and
right AI model that can give the accurate predictions.
What Type of Data Does Machine Learning Need?
The data
for machine learning can be in any form – text, audio, video or images
depending on the type of model and its algorithms learning
compatibility. For language or voice based machine learning projects
developing the AI applications like chatbot or virtual assistant
devices, need text, audio and sound in the labeled to make the human
languages understandable to machines through NLP.
While in
the other hand, for visual perception based models need the data for
computer vision algorithms like annotated image or videos contain the
objects to train the model detect or recognize them. Basically, these
two types of data are required for machine learning, maybe be their
feeding process into algorithm different depending on the type and field
of model.
Different Types of Data in Machine Learning
Basically,
there are two types of training data used in machine learning but to
make them usable for machine learning it is need to be labeled or
annotated with right data labeling process. Hence, Text, annotation, audio annotation, NLP annotation and image annotation are the leading techniques to create the different types of data in machine learning and AI developments.
And there are different techniques and methods to annotate such data for machine learning. In image annotation, bounding box, semantic segmentation,
3D point cloud annotation, landmark annotation, 3D cuboid annotation,
polyline annotation and polygon annotation is used to create the
training data for visual perception based models that can detect
different types of objects in real life.
How to Get Annotated Data for Machine Learning?
Finally,
the question still unanswered, how to get the data for machine learning.
So, the answer is getting the data or you can say training data for
machine learning is a very difficult task, as it should be properly
labeled or annotated for the algorithms to learn from such data and do
the right predictions.

And, you
can’t prepared the data yourself, as it requires lots or efforts and
time to make the data usable for machine learning projects. So, the best
option is hire data annotation company that has well-organized infrastructural facilities and dedicated team to annotate the data at large scale.
Anolytics, is the one the leading data labeling companies providing
the data annotation services for machine learning or deep learning
based AI model developments. It is expert in image annotation services
to create the high-quality training datasets for all types of AI models.
Working with team of highly skilled annotators it can produce huge
amount of training data at lowest cost. Here you can get the best
quality of data for your machine learning project available for
different fields.
Ref. url : https://anolytics.home.blog/2020/05/07/how-to-get-training-data-for-machine-learning-or-ai-development/
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