deep_weeds

The DeepWeeds dataset consists of 17,509 images capturing eight different weed species native to Australia in situ with neighbouring flora.The selected weed species are local to pastoral grasslands across the state of Queensland.The images were collected from weed infestations at the following sites across Queensland: "Black River", "Charters Towers", "Cluden", "Douglas", "Hervey Range", "Kelso", "McKinlay" and "Paluma".

Dataset size: 469.99 MiB

FeaturesDict({ 'image': Image(shape=(256, 256, 3), dtype=uint8),
'label': ClassLabel(shape=(), dtype=int64, num_classes=9),
})

Clone recursively

git clone https://github.com/yahyoxonqwe/deep_weeds.git

Enter this file

cd deep_weeds

Install Virtual environment

To use the deep_weeds dataset, it is recommended to create a virtual environment in Python. You can do this by using the virtualenv package. First, install virtualenv using pip:

python -m pip install --user virtualenv

give a name this environment

python -m venv your_env

Activate this environment

your_env\Scripts\activate.bat

Install requirements

pip install -r requirement.txt

Open jupyter notebook

jupyter notebook

Run streamlit

streamlit run streamlit.py

Predict

Predict with transfer_learning