Learn with PieceOfAPie

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Pokémon Starter Guesser is a computer vision project that uses modern and classical machine learning techniques to detect and classify starter Pokémon from images.

• CNN (Convolutional Neural Network): Classifies detected Pokémon with high accuracy
• KNN (K-Nearest Neighbors): Used as a baseline or fallback classifier
• YOLO (You Only Look Once): Detects Pokémon in images with bounding boxes
• Classifies Bulbasaur, Pikachu, Squirtle, and Charmander
• Built for learning object detection, image classification, and model comparison

Contributers: Daxz0, Tfu1234