README.md

Active Learning demo on Openshift

This is active learning demo using Label Studio and LabelStudio ML backend. This demo trains a model for vegetable classification and also model is actively trained from label studio.

References

Training Data From Kaggle

https://www.kaggle.com/datasets/misrakahmed/vegetable-image-dataset/download?datasetVersionNumber=1

Model Reference

https://www.kaggle.com/code/theeyeschico/vegetable-classification-using-transfer-learning

Model Training

Download Training Data from Kaggle references above and extract the data under model-training/Vegetable Images

Training the model locally

python3 -m venv venv
source venv/bin/activate
pip install -r requirements-devel.txt
python3 model_training.py

Training the model with RHODS

Use RHODS Project with MinIO Server and establish the data connection and launch Notebook.

Open Notebooks : notebooks

Active Learning Label Studio Backend

Local Active Learning LabelStudioML backend server

source env/bin/activate
label-studio-ml start serving