"No one is harder on a talented person than the person themselves" - Linda Wilkinson ; "Trust your guts and don't follow the herd" ; "Validate direction not destination" ;

September 11, 2022

Colab Pro+ Segmentation Experiments

The good thing is - Runs in the background, Close the browser, and re-login after a few hours

Cons - 

  • Was not as fast as I expected it to complete the training
  • Background execution terminates after 24 hours, Does not support long training
  • Sometimes console was busy and unresponsive

For 50$ this is the cheapest option at the moment :)



Experiment #1 - 20K Training Images, 5K Test Images

  • GPU, High RAM
  • TPU, High RAM
  • Colab pro+
  • Batch size - 100

Failed 

Experiment #2 - 10K Training Images, 2K Test Images

  • GPU, High RAM
  • Colab pro+
  • Batch size - 75

Failed 

Experiment #3 - 10K Training Images, 2K Test Images

  • GPU, High RAM
  • Colab pro+
  • Batch size - 25

In Progress



Experiment #4 - 10K Training Images, 2K Test Images

  • Segmentation 512 x 512
  • Batch Size = 15
  • GPU High RAM


1- 3 Epochs, Incremental Iterations


20 Epochs Seems ok, Not so bad



Everything seems to balance batch size, incremental training, GPU, and TPU based on the problem statement

Segmentation on 512 x 512 seems to have better performance compared to segmentation on 224 x 224

Continue Experiments!!!

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