YOLO v3 training along with validation dataset
7 vues (au cours des 30 derniers jours)
I have been training Yolo v3 object detction model with just training dataset, but i would also like to add validation dataset during training. In the example Object Detection Using YOLO v3 Deep Learning validation set is considered during training. Whereas in Object Detection Using YOLO v2 Deep Learning validation set is used by giving it as an input to trainYOLOv2ObjectDetector through training options.
Is there any similar function for YOLO v3 for training to use validation dataset?
Varun Sai Alaparthi le 21 Nov 2022
I understand that you are asking for giving validation data for model to train through training options.
But the functionality for the training options ‘validation dataset’ field is to give validation accuracy during training, it will not train the model on that.
However, you can add this to the train data store and initiate the training for the model to use it for training. You can combine datastores using this code
dsseq = combine(ds1,ds2,ReadOrder="sequential");
Please refer to this link for more information:
You can directly input the combined datastore to ‘trainNetwork’ API.
I hope this information helps and please reach out for any further issues.