metadata

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