This repository contains a sample work to classify garbage type based on resized images on this repository.
There are 2 models available:
- trash-classification-no-aug.keras
- trash-classification-aug.keras
The trash-classification-no-aug.keras
model trained without data augmentation:
datagen = ImageDataGenerator(
validation_split=0.2
)
While the trash-classification-aug.keras
model trained with more data augmentation works in the dataset:
# With data augmentation
datagen = ImageDataGenerator(
rescale=1./255,
validation_split=0.2,
width_shift_range=0.1,
height_shift_range=0.1,
horizontal_flip=True
)
The models trained with Tensorflow Functional API by using this approach:
Conv --> BatchNorm --> Conv --> BatchNorm --> MaxPooling (3x)
For the detailed description about the training process and models' performace, you can visit this Github repository.
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