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- ---
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- license: cc-by-sa-4.0
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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: test
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- path: data/test-*
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- dataset_info:
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- features:
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- - name: image
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- dtype: image
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- - name: label
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- dtype:
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- class_label:
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- names:
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- '0': calgary
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- '1': charlottetown
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- '2': edmonton
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- '3': halifax
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- '4': hamilton
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- '5': kitchener-waterloo
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- '6': montreal
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- '7': ottawa-gatineau
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- '8': quebec_city
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- '9': saskatoon
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- '10': st_johns
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- '11': toronto
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- '12': vancouver
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- '13': victoria
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- '14': winnipeg
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- - name: city
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- dtype: string
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- splits:
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- - name: train
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- num_bytes: 13205290442
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- num_examples: 135000
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- - name: test
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- num_bytes: 1451524680
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- num_examples: 15000
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- download_size: 14481675797
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- dataset_size: 14656815122
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: cc-by-sa-4.0
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+ configs:
4
+ - 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: test
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+ path: data/test-*
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+ dataset_info:
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+ features:
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+ - name: image
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+ dtype: image
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+ - name: label
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+ dtype:
16
+ class_label:
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+ names:
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+ '0': calgary
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+ '1': charlottetown
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+ '2': edmonton
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+ '3': halifax
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+ '4': hamilton
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+ '5': kitchener-waterloo
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+ '6': montreal
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+ '7': ottawa-gatineau
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+ '8': quebec_city
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+ '9': saskatoon
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+ '10': st_johns
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+ '11': toronto
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+ '12': vancouver
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+ '13': victoria
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+ '14': winnipeg
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+ - name: city
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+ dtype: string
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+ splits:
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+ - name: train
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+ num_bytes: 13205290442
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+ num_examples: 135000
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+ - name: test
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+ num_bytes: 1451524680
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+ num_examples: 15000
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+ download_size: 14481675797
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+ dataset_size: 14656815122
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+ language:
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+ - en
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+ tags:
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+ - geography
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+ - canada
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+ - cities
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+ pretty_name: Canadian Streetview Cities
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+ size_categories:
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+ - 100K<n<1M
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+ task_categories:
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+ - image-classification
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+ ---
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+
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+ # Canadian Street View Cities Dataset
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+
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+ ## Overview
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+ 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.
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+
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+ ## Purpose
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+ The dataset is intended for building models that recognize the Canadian city in which a street-view scene was captured.
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+
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+ ## Data Source
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+ All images were collected from **Mapillary**, using geographic bounding boxes for each target city.
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+ Collection was performed individually, collecting 10 000 images for each city.
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+
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+ ## Dataset Structure
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+ - **Train split:** 135,000 images
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+ - **Test split:** 15,000 images
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+ - Data is stored in **Parquet** files
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+ - Includes **15 Canadian cities**, represented in the `label` and `city` fields
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+
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+ ## Features
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+ - **image** — street-view image
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+ - **label** — integer class ID (0–14)
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+ - **city** — text name of the city
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+
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+ ## Preprocessing
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+ No preprocessing was applied. Images are provided exactly as downloaded from Mapillary.
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+
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+ ## Known Limitations
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+ - Some cities, especially **Saskatoon** and **Halifax**, contain dashcam-style captures including visible dashboards.
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+ These can influence model behavior if not processed correctly or accounted for.
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+
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+ ## Example Usage
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+ ```python
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+ from datasets import load_dataset
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+
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+ dataset = load_dataset("canada-guesser/Canadian-streetview-cities", streaming=False)
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+ train_ds = dataset["train"]
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+ test_ds = dataset["test"]
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+ ```
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+
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+ ## Authors
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+
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+ [Stephen](https://huggingface.co/SABR22)
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+
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+ [Danial](https://huggingface.co/daniemc22)
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+
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+ [Sharav](https://huggingface.co/sharavbali)
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+
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+ ## Project Implementation
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+ See our main project page at [Canada Guesser](https://huggingface.co/canada-guesser) for implementation details.
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+
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+
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+ ## Citation
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+
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+ If you use this dataset or models, please cite:
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+
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+ 1. Stephen Rebel, Danial McIntyre, Sharav Bali. *Canadian Street View Classifier*. Hugging Face, 2025.