Data augmentation

Concept and definition

Data augmentation

What is Data augmentation?

Data augmentation is a technique used in machine learning and artificial intelligence to increase the amount of data available to train a model. This technique involves generating new data from existing data by applying transformations that maintain the original labels.

Data augmentation is commonly used in computer vision and image processing applications, where transformations such as rotation, cropping, colour inversion and resizing are applied to create variations of the original images. In this way, the model can learn to recognise relevant image features regardless of their orientation, size and other factors.

Data augmentation is an effective technique to avoid over-fitting in machine learning models, where the model fits too closely to the training data and does not generalise well to new data. By increasing the amount and variety of training data, the model's ability to generalise to new data and improve its accuracy and performance can be improved.

« Back to glossary

Do you want to get in touch?

CDRs contain data that a telecommunications company collects about phone calls, such as time and length of call. This data can be used in analytical applications.
Fill the form
Share:
Main applications of AI in enterprises

Leading AI applications such as most apps are within the reach of many companies and allow large amounts of data to be analyzed and analyzed in a very [...]

Read More »
3 contributions of Artificial Intelligence to the telecommunications sector

Artificial intelligence is increasingly used and applied in many sectors, and as it could not be less, it has entered with force in the field of [...]

Read More »
What is Surety Insurance?

You are probably wondering, what is surety insurance and how does it help your company? In today's economic environment, [...]

Read More »
Best Artificial Intelligence Software

Artificial intelligence is increasingly present in companies and its growth is being applied in practically all sectors. When the end [...]

Read More »
See more entries
© Gamco 2021, All Rights Reserved - Legal notice - Privacy - Cookies