Skip to content

sharon44-ham/simpsons_cnn_classifier

Folders and files

NameName
Last commit message
Last commit date

Latest commit

ย 

History

3 Commits
ย 
ย 
ย 
ย 

Repository files navigation

simpsons_cnn_classifier

A grayscale CNN model to classify Simpsons characters using TensorFlow, Keras, and OpenCV.

Simpsons Character Classifier ๐ŸŸก๐Ÿง 

A Convolutional Neural Network (CNN) built using TensorFlow/Keras to classify characters from The Simpsons dataset.

๐Ÿš€ 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

๐Ÿ“ฆ Tech Stack

  • TensorFlow / Keras
  • OpenCV
  • NumPy
  • Google Colab

๐Ÿ“ธ Demo Example prediction using simp.jpeg.

๐Ÿง  Model Model architecture:

  • 2 Conv + MaxPooling layers
  • Dense + Dropout
  • Softmax output for multi-class classification

Dataset: The Simpsons Characters Dataset

About

A grayscale CNN model to classify Simpsons characters using TensorFlow, Keras, and OpenCV.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors