Model description
This repo contains the trained model for grapevine leaves image classification
Full credits go to Vu Minh Chien
Motivation: The main product of grapevines is grapes that are consumed fresh or processed. In addition, grapevine leaves are harvested once a year as a by-product. The species of grapevine leaves are important in terms of price and taste. In this repo, deep learning-based classification is conducted by using images of grapevine leaves
Intended uses & limitations
Images of 500 vine leaves belonging to 5 species were taken with a special self-illuminating system. Later, this number was increased to 2500 with data augmentation methods
Training and evaluation data
Training hyperparameters
The following hyperparameters were used during training:
| Hyperparameters | Value |
|---|---|
| name | Adam |
| learning_rate | e-3 |
| freeze_epochs | 3 |
| unfreeze_epochs | 10 |
| training_precision | float16 |
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