---
license: cc0-1.0
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': Auto Rickshaws
          '1': Bikes
          '2': Cars
          '3': Motorcycles
          '4': Planes
          '5': Ships
          '6': Trains
  splits:
  - name: train
    num_bytes: 606407823
    num_examples: 5590
  download_size: 871660951
  dataset_size: 606407823
---

## Vehicles Dataset

A lightweight image classification dataset of **vehicle categories** hosted on the Hugging Face Hub. It contains:

* **~5,590 images** across various vehicle types
* **7 class labels** (e.g., Cars, Bikes, Planes, Trains, Ships, Auto Rickshaws, Motorcycles)
* Single training split for exploration and model benchmarking
* Public domain license (**CC0-1.0**)
* Easy to load with the Hugging Face Datasets library

### Load in Python

```python
from datasets import load_dataset

ds = load_dataset("AIOmarRehan/Vehicles")
print(ds["train"].features)
```

---

This dataset is ideal for:

* Evaluating model generalization
* Benchmarking PyTorch architectures
* Practicing image preprocessing and augmentation