| --- |
| library_name: pytorch |
| tags: |
| - image-classification |
| - computer-vision |
| - vehicle-classification |
| - pytorch |
| - timm |
| license: mit |
| --- |
| |
| # TwinCar Classifier |
|
|
| TwinCar is a vehicle make and model recognition project developed for the Brainster Data Science Academy Machine Learning Final Project. |
|
|
| ## Task |
|
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| The model predicts: |
|
|
| - vehicle make |
| - vehicle model |
| - optionally production year |
|
|
| ## Current status |
|
|
| This repository is a placeholder for the final trained model and model card. |
|
|
| Final contents will include: |
|
|
| - model architecture |
| - training dataset summary |
| - validation metrics |
| - robustness evaluation notes |
| - usage instructions |
| - limitations |
| - links to GitHub, W&B, and demo Space |
|
|
| ## Links |
|
|
| - GitHub repo: https://github.com/Hristijan-kiko/twincar |
| - W&B project: https://wandb.ai/hzlatevskii-brainster-data-science-academy/twincar |
| - Demo Space: https://huggingface.co/spaces/twincar-group2/twincar-demo |
