---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype: string
  splits:
  - name: train
    num_bytes: 595074867
    num_examples: 1925
  - name: test
    num_bytes: 180776681
    num_examples: 482
  download_size: 806383581
  dataset_size: 775851548
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
license: mit
---

# 🏎️ Formula 1 Cars Dataset

A curated computer vision and multi-modal dataset consisting of **2,407 high-resolution images** across **8 prominent Formula 1 teams**.

## 📌 Dataset Summary

- **Total Valid Images**: 2,407
- **Number of Classes**: 8 F1 Teams
- **Format**: Hugging Face `datasets.Image` feature + Class Label
- **Train / Test Split**: 80% Train (`1,925` images) / 20% Test (`482` images)


## 🗂️ Dataset Structure

### Features

Each instance contains the exact image object and its corresponding class label:

```python
Features({
    'image': Image(decode=True),
    'label': ClassLabel(names=[
        'AlphaTauri F1 car',
        'Ferrari F1 car',
        'McLaren F1 car',
        'Mercedes F1 car',
        'Racing Point F1 car',
        'Red Bull Racing F1 car',
        'Renault F1 car',
        'Williams F1 car'
    ])
})
```

### Data Sample

```python
{
    'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=1920x1080>,
    'label': 'Ferrari F1 car'
}
```


## 🚀 Quickstart & Usage

###  Load the Dataset

```python
from datasets import load_dataset

# Load directly from Hugging Face Hub
dataset = load_dataset("Rakesh7n/Formula_One_Cars")

print(dataset)
# Output:
# DatasetDict({
#     train: Dataset({ features: ['image', 'label'], num_rows: 1925 }),
#     test: Dataset({ features: ['image', 'label'], num_rows: 482 })
# })
```

## 📋 Acknowledgements & Citation

### Original Dataset
- **Creator**: Sagar Khanna
- **Kaggle Dataset**: [Formula One Cars](https://www.kaggle.com/datasets/sagarplanner/formula-one-cars)
---
> ℹ️ **Source Attribution & Modifications**:
> This dataset is a **modified version of Sagar Khanna's [Formula One Cars Kaggle Dataset](https://www.kaggle.com/datasets/sagarplanner/formula-one-cars)**.
> - **Hierarchical Directory Removal**: The original nested folder structure (`Formula One Cars/<team>/<image>`) has been removed and restructured into a single flat directory with standardized, unique sequential indexing (`0000.jpg`, `0001.jpg`, ...).
> - **Data Cleaning & Validation**: Verified with `PIL.Image.verify()` to remove corrupt/invalid non-image files.
> - **Hugging Face Native Format**: Formatted with native Hugging Face `Image()` feature and standard 80/20 train/test split for one-line loading and training.

---


### Citation
```bibtex
@misc{khanna_formula_one_cars,
  author = {Sagar Khanna},
  title = {Formula One Cars},
  year = {2021},
  publisher = {Kaggle},
  howpublished = {\url{https://www.kaggle.com/datasets/sagarplanner/formula-one-cars}}
}

@dataset{formula_one_cars_hf,
  author = {Rakesh},
  title = {Formula 1 Cars Dataset (Modified - Flattened)},
  year = {2026},
  publisher = {Hugging Face},
  howpublished = {\url{https://huggingface.co/datasets/Rakesh7n/Formula_One_Cars}}
}
```

### License
Distributed under the [MIT License](https://opensource.org/licenses/MIT).