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Model Training
Our platform offers an infrastructure for training your own model on your own data.
The motivation behind this feature is to train pose-estimation model that will outperform the current one and achieve more accurate results during the keypoint detection phase in our performance assessment tool, which will ultimately lead to a better performance of the system.
The Data Preparation Pipeline
choose your Training Data
Choose the data you want the model to train on
annotate it manually
Annotate your data with the coco-annotator tool
augment and transform
Perform data augmentation and transformation so it can fit as input to the model
start training
Configure your hyperparamters, generate the model and start the training
Data
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