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--- |
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dataset_info: |
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features: |
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- name: filename |
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dtype: string |
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- name: tfw |
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dtype: binary |
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- name: tif |
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dtype: binary |
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- name: label_tif |
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dtype: binary |
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- name: label_tfw |
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dtype: binary |
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splits: |
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- name: train |
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num_bytes: 2739248440 |
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num_examples: 180000 |
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- name: val |
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num_bytes: 297399599 |
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num_examples: 19999 |
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download_size: 2804405571 |
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dataset_size: 3036648039 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: val |
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path: data/val-* |
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--- |
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# Dataset Card for Sidewalks |
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This dataset comprises a collection of sidewalk images stored in a streamable format. It includes separate sets of Parquet files designated for training and validation, each with its respective split of data. Within the Parquet files, the dataset features information such as filenames, where image data is encoded as bytes, along with corresponding tfw files also encoded as bytes. |
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## Code to stream train split |
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``` |
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from datasets import load_dataset |
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dataset = load_dataset("back2classroom/sidewalks", split='test', streaming=True) |
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print(next(iter(dataset))) |
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``` |
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|
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## Code to stream val split |
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``` |
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from datasets import load_dataset |
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dataset = load_dataset("back2classroom/sidewalks", split='val', streaming=True) |
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print(next(iter(dataset))) |
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``` |
