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README.md
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This repository contains a sample work to classify garbage type based on resized images on this [repository](https://huggingface.co/datasets/garythung/trashnet).
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There are 2 models available:
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- trash-classification-no-aug.keras
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- trash-classification-aug.keras
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The `trash-classification-no-aug.keras` model trained with no (or minimum) data augmentation:
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```python
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datagen = ImageDataGenerator(
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rescale=1./255,
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validation_split=0.2
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)
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```
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While the `trash-classification-aug.keras` model trained with more data augmentation works in the dataset:
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```python
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# With data augmentation
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datagen = ImageDataGenerator(
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rescale=1./255,
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validation_split=0.2,
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width_shift_range=0.1,
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height_shift_range=0.1,
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horizontal_flip=True
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)
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```
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The models trained with Tensorflow Functional API by using this approach:
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```
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Conv --> BatchNorm --> Conv --> BatchNorm --> MaxPooling (3x)
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```
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For the detailed description about the training process and models' performace, you can visit this Github [repository](https://github.com/dioz95/trash-classification/tree/main).
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