Which paramaters can improve detector performance?

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Adrian Kleffler
Adrian Kleffler el 31 de Mayo de 2023
Respondida: Sachin el 5 de Jun. de 2023
Hello everyone, I trained Faster RCNN and SSD object detectors with my own dataset with 5 classes… My results are: Faster RCNN average precision 64% and SSD average precision 45% … I was inspirated by examples on matworks page… which parameters should I change or increase to get better results? I mean if increasing minibatchsize would give me better average precision or what should i change ? Thanks for answers… I mean which parameters in training options can improve my results?

Respuestas (1)

Sachin el 5 de Jun. de 2023
I understand that you want to improve the detector performance.
Following suggestions might be helpful to you:
  1. Increase mini-batch size : Increasing the mini batch size can speed up training and reduce the variance of the model.
  2. Data augmentation : By using Data augmentation techniques like flipping, rotation, resizing can help you to improve the performance of your model.
  3. Adjust learning-rate – Experiment with learning rate might be helpful.
  4. Adjust hyper-parameters : You can consider changing the hyperparameters such as number of epochs, number of layers in your mode, optimization algorithm .
Refer the following MATLAB Documentation page :

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