---
license: cc-by-sa-4.0
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': calgary
          '1': charlottetown
          '2': edmonton
          '3': halifax
          '4': hamilton
          '5': kitchener-waterloo
          '6': montreal
          '7': ottawa-gatineau
          '8': quebec_city
          '9': saskatoon
          '10': st_johns
          '11': toronto
          '12': vancouver
          '13': victoria
          '14': winnipeg
  - name: city
    dtype: string
  splits:
  - name: train
    num_bytes: 13205290442
    num_examples: 135000
  - name: test
    num_bytes: 1451524680
    num_examples: 15000
  download_size: 14481675797
  dataset_size: 14656815122
language:
- en
tags:
- geography
- canada
- cities
pretty_name: Canadian Streetview Cities
size_categories:
- 100K<n<1M
task_categories:
- image-classification
---

# Canadian Street View Cities Dataset

## Overview
A street-view image dataset created to train and evaluate models for **city-level image classification** across major Canadian cities. Each entry includes an image and its corresponding city label.

## Purpose
The dataset is intended for building models that recognize the Canadian city in which a street-view scene was captured.

## Data Source
All images were collected from **Mapillary**, using geographic bounding boxes for each target city.  
Collection was performed individually, collecting 10 000 images for each city.

## Dataset Structure
- **Train split:** 135,000 images  
- **Test split:** 15,000 images  
- Data is stored in **Parquet** files  
- Includes **15 Canadian cities**, represented in the `label` and `city` fields

## Features
- **image** — street-view image  
- **label** — integer class ID (0–14)  
- **city** — text name of the city

## Preprocessing
No preprocessing was applied. Images are provided exactly as downloaded from Mapillary.

## Known Limitations
- Some cities, especially **Saskatoon** and **Halifax**, contain dashcam-style captures including visible dashboards.  
  These can influence model behavior if not processed correctly or accounted for.

## Example Usage
```python
from datasets import load_dataset

dataset = load_dataset("canada-guesser/Canadian-streetview-cities", streaming=False)
train_ds = dataset["train"]
test_ds = dataset["test"]
```

## Authors

[Stephen](https://huggingface.co/SABR22)

[Danial](https://huggingface.co/daniemc22)

[Sharav](https://huggingface.co/sharavbali)

## Project Implementation
See our main project page at [Canada Guesser](https://huggingface.co/canada-guesser) for implementation details.


## Citation

If you use this dataset or models, please cite:

1. Stephen Rebel, Danial McIntyre, Sharav Bali. *Canadian Street View Classifier*. Hugging Face, 2025.