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--- |
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dataset_info: |
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features: |
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- name: image_id |
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dtype: int64 |
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- name: image |
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dtype: image |
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- name: image_width |
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dtype: int64 |
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- name: image_height |
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dtype: int64 |
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- name: objects |
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struct: |
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- name: bbox_id |
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sequence: int64 |
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- name: category |
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sequence: |
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class_label: |
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names: |
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'0': vehicle |
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'1': truck |
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- name: bbox |
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sequence: |
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sequence: float32 |
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length: 4 |
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- name: area |
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sequence: float32 |
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splits: |
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- name: train |
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num_bytes: 951705037.8 |
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num_examples: 3650 |
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- name: test |
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num_bytes: 38218268.0 |
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num_examples: 162 |
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download_size: 987020725 |
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dataset_size: 989923305.8 |
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license: apache-2.0 |
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pretty_name: Highway vehicles - object detection |
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task_categories: |
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- object-detection |
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--- |
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# Dataset Card for "highway-vehicles" |
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This dataset contains scenes from road cameras (mainly highway cameras) |
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with cars classified into vehicles (class 0), and trucks (class 1). Overall, it contains 3,812 scenes with 91,843 objects. |
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The detailed instructions are available at [GitHub Repo](https://github.com/CATT-Works/HighwayCameraDataset). |
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### Citations: |
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If you are using this dataset, consider citing the related paper: |
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`Placeholder for a paper, will appear as soon as it is published :>` |
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