A grayscale CNN model to classify Simpsons characters using TensorFlow, Keras, and OpenCV.
A Convolutional Neural Network (CNN) built using TensorFlow/Keras to classify characters from The Simpsons dataset.
๐ Features
- Trained on over 13,000 grayscale images of Simpsons characters
- Achieves good accuracy using a simple CNN architecture
- Built using OpenCV, TensorFlow, and Python
๐ฆ Tech Stack
- TensorFlow / Keras
- OpenCV
- NumPy
- Google Colab
๐ธ Demo
Example prediction using simp.jpeg.
๐ง Model Model architecture:
- 2 Conv + MaxPooling layers
- Dense + Dropout
- Softmax output for multi-class classification
Dataset: The Simpsons Characters Dataset