task_categories:object-detection license:apache-2.0 size_categories:1K<n<10K format:parquet modality:image library:datasets library:dask library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: image_id
    dtype: int64
  - name: image
    dtype: image
  - name: image_width
    dtype: int64
  - name: image_height
    dtype: int64
  - name: objects
    struct:
    - name: bbox_id
      sequence: int64
    - name: category
      sequence:
        class_label:
          names:
            '0': vehicle
            '1': truck
    - name: bbox
      sequence:
        sequence: float32
        length: 4
    - name: area
      sequence: float32
  splits:
  - name: train
    num_bytes: 951705037.8
    num_examples: 3650
  - name: test
    num_bytes: 38218268.0
    num_examples: 162
  download_size: 987020725
  dataset_size: 989923305.8
license: apache-2.0
pretty_name: Highway vehicles - object detection
task_categories:
- object-detection
---
# Dataset Card for "highway-vehicles"

This dataset contains scenes from road cameras (mainly highway cameras)
with cars classified into vehicles (class 0), and trucks (class 1). Overall, it contains 3,812 scenes with 91,843 objects.

The detailed instructions are available at [GitHub Repo](https://github.com/CATT-Works/HighwayCameraDataset).

### Citations:

If you are using this dataset, consider citing the related paper:

`Placeholder for a paper, will appear as soon as it is published :>`
