Image Segmentation: Tips and Tricks from 39 Kaggle Competitions

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@jakubczakonjakubczakon

Senior information scientist creating experiment tracking applications for ML initiatives at https://neptune.ai

Think about if you could get all the ideas and methods you have to have to hammer a Kaggle opposition. I have absent over 39 Kaggle competitions together with

 – and extracted that expertise for you. Dig in.

Contents

  • External Data Preprocessing
  •  Data Augmentations 
  • Modeling 
  • Hardware Setups 
  • Decline Functions 
  • Schooling Tips
  •  Evaluation and Cross-validation
  •  Ensembling Methods 
  • Put up Processing

External Details

Details Exploration and Attaining insights

Preprocessing

Details Augmentations

Modeling

Architectures

Hardware Setups

Decline Features

Schooling ideas

Analysis and cross-validation

Ensembling procedures

Put up Processing

Final Ideas

With any luck ,, this report gave you some track record into graphic segmentation ideas and methods and provided you some applications and frameworks that you can use to commence competing.

We’ve protected ideas on:

  • architectures
  • coaching methods,
  • losses,
  • pre-processing,
  • publish processing
  • ensemblingtools and frameworks.

If you want to go deeper down the rabbit gap, simply just comply with the links and see how the most effective graphic segmentation designs are developed.

Happy segmenting!

You can also discover me tweeting @Neptune_ai or publishing on Linkedin about ML and Details Science stuff.

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