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.  

Also Read : Why Data Annotation is Important for Machine Learning and AI?
      
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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