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| [](https://deepsource.io/gh/Erlemar/digit-draw-detect/?ref=repository-badge ) | |
| This is a repo of my "Handwritten digit detector" pet-project. It uses a YOLOv3 model trained from scratch and Streamlit for frontent. You can see the live version of the app [here](https://huggingface.co/spaces/Artgor/digit-draw-detect). | |
| If you are interested in reading more about this project, here are some links: | |
| * [Project page on my personal website](https://andlukyane.com/project/drawn-digits-prediction) | |
| * [A dataset with the digits and bounding boxes on Kaggle](https://www.kaggle.com/datasets/artgor/handwritten-digits-and-bounding-boxes) | |
| * [Training code](https://github.com/Erlemar/pytorch_tempest_pet_) | |
| * [Blogpost on my personal website](https://andlukyane.com/blog/a-third-life-of-a-personal-project) | |
| * [Blogpost on medium](https://towardsdatascience.com/the-third-life-of-a-personal-pet-project-for-handwritten-digit-recognition-fd908dc8e7a1) | |
| * [Russian blogpost on habr](https://habr.com/ru/company/ods/blog/707046/) | |
| * [W&B report](https://wandb.ai/al-3002-w/pet_project_object_detection/reports/Training-a-model-for-Handwritten-Object-Detection---VmlldzozMTgwMzA2?accessToken=yi6t4sz6iwr1yp78nfpvw71qao5wibak30np9tfft885tdj26g3tk91h1sie3h5m) | |