🐾 MozieFinder

MozieFinder is a lightweight convolutional neural network (CNN) model built from scratch using TensorFlow, designed to classify images as either cats or dogs.

  • πŸ“¦ Model Type: Custom CNN (ResNet-inspired)
  • 🐢🐱 Task: Binary Image Classification (Cat vs. Dog)
  • 🧠 Trainable Parameters: ~1.2 million
  • πŸ–ΌοΈ Input Resolution: 224x224
  • πŸ‹οΈ Training Data: ~20,000 labeled cat and dog images
  • 🎯 Validation Accuracy: ~92%

MozieFinder was trained from scratch β€” no pre-trained weights were used β€” as a demonstration of how to build a robust image classification model end-to-end.

⚠️ Disclaimer: This model card was written by the model creator. It has not been officially reviewed by TensorFlow or affiliated teams.

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