Which paramaters can improve detector performance?

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Adrian Kleffler
Adrian Kleffler 2023-5-31
回答： Sachin 2023-6-5
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?

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回答（1 个）

Sachin
Sachin 2023-6-5
Hi @Adrian Kleffler
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 :
https://in.mathworks.com/help/vision/ug/object-detection-using-faster-r-cnn-deep-learning.html
Thanks
Sachin

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