Flower Classification

flower_classification

Summary

102 종류의 꽃 데이터를 학습하여 꽃을 판별해줍니다. (데이터는 [https://www.robots.ox.ac.uk/~vgg/data/flowers/102/] 이곳에서)

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Installation

Python 3.11 with the following installed :

git clone https://github.com/GamjaUser/flower_classification.git
cd flower_classification
pip install -r requirements.txt

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Dataset

• link : [https://www.robots.ox.ac.uk/~vgg/data/flowers/102/]
• categories : [https://www.robots.ox.ac.uk/~vgg/data/flowers/102/categories.html]
• test_img
  • 인터넷에 떠도는 꽃 이미지

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Model

• EfficientNetB0

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Steps

1. download data
2. Run python oxford_flowers102_dataset_builder.pyto train the model
3. Run python train.pyto train the model
4. Run python test.pyto train the model

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Results

거의 90% 이상의 정확도를 보여줌.

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Reference

[1] 102 Category Flower Dataset [https://www.robots.ox.ac.uk/~vgg/data/flowers/102/]

[2] oxford_flowers102_dataset_builder [https://github.com/tensorflow/datasets/blob/master/tensorflow_datasets/datasets/oxford_flowers102/oxford_flowers102_dataset_builder.py]

[3] Apache License, Version 2.0 [https://www.apache.org/licenses/LICENSE-2.0]

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GitHub

GitHub - GamjaUser/flower_classification