Instructions to use twincar-group2/twincar-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use twincar-group2/twincar-classifier with timm:
import timm model = timm.create_model("hf_hub:twincar-group2/twincar-classifier", pretrained=True) - Notebooks
- Google Colab
- Kaggle
metadata
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
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