Skip to content

Latest commit

 

History

History
10 lines (8 loc) · 756 Bytes

File metadata and controls

10 lines (8 loc) · 756 Bytes

Flower Recognition

What kind of flower is that?

Description

The goal of the project is to identify flowers belonging to five classes: daisy, tulip, rose, sunflower and dandelion. The dataset is available for download at https://www.kaggle.com/alxmamaev/flowers-recognition. I have built a simple convolutional neural network (CNN) using tensorflow and keras to classify the flowers. Furthermore, I have implemented tranfer learning where I have used the weights of the InceptionV3 model (https://arxiv.org/abs/1512.00567) trained on the ImageNet Dataset (http://www.image-net.org/).

Note

Here my aim is not to improve accuracy of this CNN model but to provide a code that can be used in a range of image classification problems with minor tweaks.