# Dataset Card for Dataset Name

### Dataset Summary

This dataset is a subset of Kaggle's Google Landmark Recognition 2021 competition with only the categories with more than 500 images. 
https://www.kaggle.com/competitions/landmark-recognition-2021/data

The dataset consists of  a total of 45579 224x224 color images in 51 categories. 

### Languages

English


## Dataset Structure

### Data Fields

- `landmark_id`: Int - Numeric identifier of the category
- `category` : String -  Name of the category
- `id` : String - Image identifier
- `image` : Image - PIL image object
- `label` : Int - Numeric label from 0 to 50 
  

### Data Splits

The dataset was randomly split with 80% of the images for the train set and 20% for the test set. 

|                      | train | test |
|----------------------|------:|-----:|
| Dataset              | 36463 | 9116 |


### Source Data

The full dataset is from Kaggle Landmark Recognition 2021

"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

https://www.kaggle.com/competitions/landmark-recognition-2021/data

### Citation Information

"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

"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

size_categories:n<1K language:en region:us
{"language": ["en"], "size_categories": ["n<1K"], "pretty_name": "GLDv2 Top 51 Categories", "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "landmark_id", "dtype": "int64"}, {"name": "category", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 2428986323.125, "num_examples": 36463}, {"name": "test", "num_bytes": 606874794.5, "num_examples": 9116}], "download_size": 3034360629, "dataset_size": 3035861117.625}}
TAGS
#size_categories-n<1K #language-English #region-us 

Dataset Card for Dataset Name
=============================


### Dataset Summary


This dataset is a subset of Kaggle's Google Landmark Recognition 2021 competition with only the categories with more than 500 images.
URL


The dataset consists of a total of 45579 224x224 color images in 51 categories.


### Languages


English


Dataset Structure
-----------------


### Data Fields


* 'landmark\_id': Int - Numeric identifier of the category
* 'category' : String - Name of the category
* 'id' : String - Image identifier
* 'image' : Image - PIL image object
* 'label' : Int - Numeric label from 0 to 50


### Data Splits


The dataset was randomly split with 80% of the images for the train set and 20% for the test set.



### Source Data


The full dataset is from Kaggle Landmark Recognition 2021


"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


URL


"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


"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



### Dataset Summary


This dataset is a subset of Kaggle's Google Landmark Recognition 2021 competition with only the categories with more than 500 images.
URL


The dataset consists of a total of 45579 224x224 color images in 51 categories. ### Languages


English


Dataset Structure
----------------- ### Data Fields


* 'landmark\_id': Int - Numeric identifier of the category
* 'category' : String - Name of the category
* 'id' : String - Image identifier
* 'image' : Image - PIL image object
* 'label' : Int - Numeric label from 0 to 50 ### Data Splits


The dataset was randomly split with 80% of the images for the train set and 20% for the test set. ### Source Data


The full dataset is from Kaggle Landmark Recognition 2021


"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


URL


"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


"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
TAGS
#size_categories-n<1K #language-English #region-us 
 ### Dataset Summary


This dataset is a subset of Kaggle's Google Landmark Recognition 2021 competition with only the categories with more than 500 images.
URL


The dataset consists of a total of 45579 224x224 color images in 51 categories. ### Languages


English


Dataset Structure
----------------- ### Data Fields


* 'landmark\_id': Int - Numeric identifier of the category
* 'category' : String - Name of the category
* 'id' : String - Image identifier
* 'image' : Image - PIL image object
* 'label' : Int - Numeric label from 0 to 50 ### Data Splits


The dataset was randomly split with 80% of the images for the train set and 20% for the test set. ### Source Data


The full dataset is from Kaggle Landmark Recognition 2021


"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


URL


"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


"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