Pokemon Image Classifier – CNN Based

This project is a based on deep learning experiment, I focused on classifying images of three popular Pokemon: Pikachu, Meowth, and Bulbasaur, using Convolutional Neural Networks (CNNs). Built using Python and TensorFlow, it demonstrates how image recognition techniques can be applied to custom Image datasets.

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Dataset Details

The dataset contains labeled images of:

• Pikachu
• Meowth
• Bulbasaur

Each category includes a set of training and testing images.

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Technologies Used

• Python
• TensorFlow / Keras
• NumPy
• OpenCV
• Matplotlib
• Jupyter Notebook

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Features

• Image loading and preprocessing (resizing, normalization)
• CNN model building with Keras Sequential API
• Training with categorical cross-entropy
• Validation on test images
• Confusion matrix visualization

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Learnings

• Built a working CNN from scratch
• Applied classification to real-world image data
• Learned to fine-tune models for better accuracy