Flower-Species-Classifier

This project was created for PyTorch Scholarship Challenge.

This repository has two models, one built using resnet152 and other using densenet161.

Do download the data (train & valid) and test data.

flower_species_classifier_model_densenet161.ipynb model:

Accuracy and Loss of this model

Validation

Accuracy of 96.2103% & Loss of 0.145992

Testing

Accuracy of 98% & Loss of 0.093781

Training

Accuracy of 95.0549% & Loss of 0.186625

flower_species_classifier_model_resnet152.py model.

Run this project in Google Colab.

Accuracy and Loss of this model

Validation

Accuracy of 95.2323% & Loss of 0.208261

Testing

Accuracy of 93% & Loss of 0.241504

Training

Accuracy of 90.9341% & Loss of 0.319715