---
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
language:
- en
pretty_name: GLDv2 Top 51 Categories
size_categories:
- n<1K
---
# 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