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---
dataset_info:
features:
- name: filename
dtype: string
- name: tfw
dtype: binary
- name: tif
dtype: binary
- name: label_tif
dtype: binary
- name: label_tfw
dtype: binary
splits:
- name: train
num_bytes: 2739248440
num_examples: 180000
- name: val
num_bytes: 297399599
num_examples: 19999
download_size: 2804405571
dataset_size: 3036648039
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: val
path: data/val-*
---
# Dataset Card for Sidewalks
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.
## Code to stream train split
```
from datasets import load_dataset
dataset = load_dataset("back2classroom/sidewalks", split='test', streaming=True)
print(next(iter(dataset)))
```
## Code to stream val split
```
from datasets import load_dataset
dataset = load_dataset("back2classroom/sidewalks", split='val', streaming=True)
print(next(iter(dataset)))
``` |