What is "Training Data" in Machine Learning?

The training data in machine learning is like a raw material used to make a final product. It a kind of data sets curated for training the machine learning algorithms. A training data can be any form from text to image or videos etc. that can be also annotated with labels and tags to make it recognizable for machines or computer vision.


The Importance of Training Data

The training data for AI is important as without such data it is impossible to train a machine that can only read a pattern or recognize an object from learning such data sets. As much as data is feed into the machine model with algorithms the accuracy of model prediction.

Where to Find Training Data Machine Learning?

If you need imaged based data sets you should have annotated training data sets that you can use the training machine learning model. Annotated images are basically used for self-driving vehicles, drones, satellite imagery, agriculture, video surveillance and sports analytics.

And to get the high quality training data sets for machine learning Cogito is the right company providing the machine learning training data sets with best accuracy. Cogito is specialized in image annotation service and can provide the images as a training data with annotation techniques like bounding boxes, Polygonal Segmentation, Line annotation, Landmark/Point annotation, Semantic segmentation and other formats of annotations.

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