mornville / Pokedex_ML

CNN Model to identify Pokemon. Custom Dataset - 33, 358 Train and 7, 396 Test images(100*100)

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Pokedex_ML

CNNs Project to identify Pokemon.

Custom Dataset - 33, 358 Train and 7, 396 Test images(100*100), 166 Classes of Pokemon.

About

  • Gathered custom dataset using Bing Search Api in get_images.py and search_images_bing.py
  • Cleaned the downloaded images which couldn't be opened using clean_data.py
  • Used Transfer Learning on some Pre-Trained model like VGG16 and Mobile Net
  • Total Classes of Pokemon = 166

VGG16 Model (Accuracy 51.23%)

MobileNet Model (Accuracy 63.237%)

View Code in Kaggle

https://www.kaggle.com/mornville/pokedex

About

CNN Model to identify Pokemon. Custom Dataset - 33, 358 Train and 7, 396 Test images(100*100)


Languages

Language:Python 100.0%