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vinayakmishra11/
cat-dog-classifier

Name: cat-dog-classifier
Availability: InStock

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Cat Dog Classifier Model

A deep learning model for classifying images of cats and dogs.

Model File

cat_dog_classifier_model.h5 - Pre-trained Keras/TensorFlow model

Requirements

tensorflow>=2.0
numpy
pillow

Installation

pip install tensorflow numpy pillow

Usage

python

from tensorflow.keras.models import load_model
from tensorflow.keras.preprocessing import image
import numpy as np

# Load the model
model = load_model('cat_dog_classifier_model.h5')

# Load and preprocess an image
img_path = 'your_image.jpg'
img = image.load_img(img_path, target_size=(150, 150))  # Adjust size as needed
img_array = image.img_to_array(img)
img_array = np.expand_dims(img_array, axis=0)
img_array = img_array / 255.0  # Normalize

# Make prediction
prediction = model.predict(img_array)

# Interpret result
if prediction[0] > 0.5:
    print("Dog")
else:
    print("Cat")

Model Details

Input: RGB images (typically 150x150 or 224x224 pixels)
Output: Binary classification (0 = Cat, 1 = Dog)
Format: HDF5 (.h5) - Keras model format

Notes

Ensure input images are preprocessed consistently with training data
Adjust target_size based on the model's expected input dimensions
Normalization (dividing by 255) is typically required

License

This model is provided as-is for educational and personal use.

vinayakmishra11/cat-dog-classifier