Pokemon Dataset contains 150 different Pokemon classes. We Develop a CNN model to precisely categorize Pokémon photos into the appropriate species. The objective is to use each Pokémon's unique visual traits to construct a strong image classification system that can accurately distinguish between various Pokémon species.
- Download Pokemon Date from ( "!kaggle datasets download -d lantian773030/pokemonclassification")
- Unzip the Pokemon data.
- Detailed Comments are given in the ".ipynb" file.
- Create a new conda env using "conda create -n pokemon python==3.8"
- Then run "!pip install -r reuirement.txt"