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--- |
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dataset_info: |
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features: |
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- name: id |
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dtype: string |
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- name: landmark_id |
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dtype: int64 |
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- name: category |
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dtype: string |
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- name: image |
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dtype: image |
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- name: label |
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dtype: int64 |
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splits: |
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- name: train |
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num_bytes: 2428986323.125 |
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num_examples: 36463 |
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- name: test |
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num_bytes: 606874794.5 |
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num_examples: 9116 |
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download_size: 3034360629 |
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dataset_size: 3035861117.625 |
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language: |
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- en |
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pretty_name: GLDv2 Top 51 Categories |
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size_categories: |
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- n<1K |
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--- |
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# Dataset Card for Dataset Name |
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### Dataset Summary |
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This dataset is a subset of Kaggle's Google Landmark Recognition 2021 competition with only the categories with more than 500 images. |
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https://www.kaggle.com/competitions/landmark-recognition-2021/data |
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The dataset consists of a total of 45579 224x224 color images in 51 categories. |
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### Languages |
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English |
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## Dataset Structure |
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### Data Fields |
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- `landmark_id`: Int - Numeric identifier of the category |
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- `category` : String - Name of the category |
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- `id` : String - Image identifier |
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- `image` : Image - PIL image object |
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- `label` : Int - Numeric label from 0 to 50 |
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### Data Splits |
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The dataset was randomly split with 80% of the images for the train set and 20% for the test set. |
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| | train | test | |
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|----------------------|------:|-----:| |
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| Dataset | 36463 | 9116 | |
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### Source Data |
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The full dataset is from Kaggle Landmark Recognition 2021 |
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"Towards A Fairer Landmark Recognition Dataset", Z. Kim, A. Araujo, B. Cao, C. Askew, J. Sim, M. Green, N. Yilla and T. Weyand, arxiv:2108.08874 |
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https://www.kaggle.com/competitions/landmark-recognition-2021/data |
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### Citation Information |
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"Google Landmarks Dataset v2 - A Large-Scale Benchmark for Instance-Level Recognition and Retrieval", T. Weyand, A. Araujo, B. Cao and J. Sim, Proc. CVPR'20 |
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"Towards A Fairer Landmark Recognition Dataset", Z. Kim, A. Araujo, B. Cao, C. Askew, J. Sim, M. Green, N. Yilla and T. Weyand, arxiv:2108.08874 |
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