This project applies transfer-learning to build an Flower classification model. Specifically we are using the MobileNetV2 model as the base and retrain it on the Oxford Flower 102 dataset before applying further fine-tuning. Finally we deployed the model as an app for ios devices
For further reading/ understanding of this project, find the related blog-post on my website
All relevant packages are stated within the requirements file as well as pipfiles, which were used for the project.
python3 main.py --config ./src/config.json
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.