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grapevine_leaves_classification
hugginglearners/grapevine_leaves_classification
grapevine_leaves_classification is a image classification model from hugginglearners. Use it when you need a label for an image. It is set up for fastai.
This repo contains the trained model for grapevine leaves image classification
Access
Public
Updated Jul 12, 2022
Repo size
87.5 MB
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1
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Repo makeup
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.pkl87.5 MB · 100%
At a glance
- Task
- Image Classification
- Library
- fastai
- Access
- Public
- Created
- Jul 8, 2022
- Updated
- Jul 12, 2022
- SHA
- a9298646
Model card
From the Hugging Face model README
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 |
- Task
- Image Classification
- Library
- fastai
- Created
- Jul 8, 2022
- Updated
- Jul 12, 2022