Muhammad-Saran / Computer-vision-classicationView on GitHub
Dog vs Cat Classifier is a deep learning model built with TensorFlow to classify images as either dogs or cats. It utilizes a Convolutional Neural Network (CNN) and is trained on the Dog vs Cat dataset from Kaggle. The repository includes training and prediction scripts, allowing users to train the model and classify new images easily. πŸš€
β˜†17Mar 26, 2025Updated last year

Alternatives and similar repositories for Computer-vision-classication

Users that are interested in Computer-vision-classication are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.

Sorting:

Are these results useful?