Scanbage

What it does

Classifies the waste material in the image into 6 categories :
1. Cardboard
2. Glass
3. Metal
4. Paper
5. Plastic
6. Trash
The results of tells if the item should be recycled, composted, put into the general trash or needs special treatment (hazardous materials)
Tells the information on how much CO2 emission they avoided

Pre requisite: You should already have flask, tensflow and torchvision libraries installed
Steps:
1. Download the github zip file.
2. Extract the file.
3. Go to your terminal and change the directory to where you extracted the zip file.
4. Then type in, python app.py.
5. Follow the link provided by the terminal.
6. Upload the desired image (preferably from the dataset-resized.zip)

Pre-Trained image detection model DenseNet-121
DenseNet-121 is pre-trained on ImageNet to distinguish 1000 classes of objects
Dataset is trained using VGG16 Transfer Learning Technique of CNN for the classification

Name		Name	Last commit message	Last commit date
Latest commit History 90 Commits
.github/workflows		.github/workflows
__pycache__		__pycache__
static		static
templates		templates
Procfile		Procfile
README.md		README.md
app.py		app.py
dataset-resized.zip		dataset-resized.zip
imagenet_class_index.json		imagenet_class_index.json
model.hdf5		model.hdf5
model.py		model.py
requirements.txt		requirements.txt
utils.py		utils.py