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Predicting cats feature points using a feature pyramid network

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Cats Feature Points Estimation

Predicting cats feature points using a feature pyramid network

Kaggle Dataset

Understanding Data

Each record contains an image and a file with 19 values.

The first value represents the number of points (which is 9)

Each two next values represent a coordinate in the picture which shows a feature point:

  • Left Eye

  • Right Eye

  • Mouth

  • Left Ear 1

  • Left Ear 2

  • Left Ear 3

  • Right Ear 1

  • Right Ear 2

  • Right Ear 3

  • pic

Each image has been resized to 224 * 224

Modeling

  • MobileNetV2 as feature extractor
  • Feature pyramid with 4 levels
  • Detection head with 18 outputs (each corresponding to a point)

Evaluation

  • eval

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Predicting cats feature points using a feature pyramid network

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