There are 0 repository under cat-vs-dog topic.
Image classification for dogs and cats with VGG-16 using PyTorch. Model accuracy: 99.6%. Classification API included
A CNN to distinguish between cat images and dog images with a fairly high accuracy with less data
a simple CNN to classify a binary class consist of dogs and cats powered by TensorFlow.keras
An exploration of the trade-off between image quality and accuracy.
A simple classifier model that fine-tune the InceptionV3 model
This Repository contain algorithm to classify whether images contain either a dog or a cat. This is easy for humans, dogs, and cats. But computer will find it a bit more difficult.
Deep learning model for Cats vs Dogs competition in Kaggle. Also it contains CNN's filters and feature maps visualizations.