Look a doggo!: A deep learning approach to detect dogs in images

Deep Learning
CNN
tensorflow
Python
Machine Learning
Algorithm
Computer Vision
VGG16
Resnet_50
Author

David Munoz Tord

Published

March 11, 2024

Algorithm for a Dog Identification App

The goal of this project was to build a pipeline that can be used within a web or mobile app to process real-world, user-supplied images. Given an image of a dog, the algorithm will identify an estimate of the canine’s breed. If supplied an image of a human, the code will identify the resembling dog breed.

I used python and keras interface from tensorflow to build a Convolutional Neural Networks (CNN) to classify dog breeds. The model was trained on the Dog Breed Identification dataset. The dataset contains 8351 dog images and 133 breeds.

Open it full

Check out the project on GitHub.