flower-classifier

Classifies flower species using CNN.

Currently, the model is trained with 733 flower images in 10 categories. The model is trained with 120 epochs and has an accuracy of 92.32% on the test set and 85.95% on the validation set.

[
    'bougainvillea',
    'daisies',
    'garden_roses',
    'gardenias',
    'hibiscus',
    'hydrangeas',
    'lilies',
    'orchids',
    'peonies',
    'tulips'
]

Setup

1. Clone the repository.

git clone https://github.com/bereketsega/match-service.git

2. Start the server.

• cd into api directory. There will a direction on the README.md file on how to start the server.

3. Start the client.

• cd into client directory. There will a direction on the README.md file on how to start the client.

Example