Meta_Album_CRS_Extended
OpenML dataset with id 44323
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/22111037/Meta_Album_CRS_Extended.arff
Upload date: 8 November 2022
Copyright license: No records found.
Dataset Characteristics
Number of classes: 196
Number of features: 3 (numeric: 1, symbolic: 0 and in total binary: 0 )
Number of instances: 16,185
Number of instances with missing values: 16,185
Number of missing values: 16,185
Meta-Album Cars Dataset (Extended)
* The original Cars dataset (https://ai.stanford.edu/~jkrause/cars/car_dataset.html) was collected in 2013, and it contains more than 16 000 images from 196 classes of cars. Most images are on the road, but some have different backgrounds, and each image has only one car. Each class can have 48 to 136 images of variable resolutions. The preprocess version for this dataset was obtained by creating square images either duplicating the top and bottom-most 3 rows or the left and right most 3 columns based on the orientation of the original image. In this case, cropping was not applied to create the square images since following this technique results in losing too much information from the cars. Then, the square images were resized into 128x128 px using an anti-aliasing filter.
Dataset Details
![1]
Meta Album ID: VCL.CRS Meta Album URL: https://meta-album.github.io/datasets/CRS.html Domain ID: VCL Domain Name: Vehicles Dataset ID: CRS Dataset Name: Cars Short Description: Dataset with images of different car models \# Classes: 196 \# Images: 16185 Keywords: vehicles, cars Data Format: images Image size: 128x128
License (original data release): ImageNet License License URL(original data release): https://ai.stanford.edu/~jkrause/cars/car_dataset.html https://www.image-net.org/download.php
License (Meta-Album data release): ImageNet License License URL (Meta-Album data release): https://www.image-net.org/download.php
Source: Stanford Cars Dataset Source URL: https://ai.stanford.edu/~jkrause/cars/car_dataset.html
Original Author: Jonathan Krause, Michael Stark, Jia Deng, Li Fei-Fei Original contact: jkrause@cs.stanford.edu
Meta Album author: Philip Boser Created Date: 01 March 2022 Contact Name: Ihsan Ullah Contact Email: meta-album@chalearn.org Contact URL: https://meta-album.github.io/
Cite this dataset
``` @inproceedings{KrauseStarkDengFei-Fei_3DRR2013,
title = {3D Object Representations for Fine-Grained Categorization},
booktitle = {4th International IEEE Workshop on 3D Representation and Recognition (3dRR-13)},
year = {2013},
address = {Sydney, Australia},
author = {Jonathan Krause and Michael Stark and Jia Deng and Li Fei-Fei}
} ```
Cite Meta-Album
``` @inproceedings{meta-album-2022,
title={Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification},
author={Ullah, Ihsan and Carrion, Dustin and Escalera, Sergio and Guyon, Isabelle M and Huisman, Mike and Mohr, Felix and van Rijn, Jan N and Sun, Haozhe and Vanschoren, Joaquin and Vu, Phan Anh},
booktitle={Thirty-sixth Conference on Neural Information Processing Systems Datasets and Benchmarks Track},
url = {https://meta-album.github.io/},
year = {2022}
}
```
More
For more information on the Meta-Album dataset, please see the [NeurIPS 2022 paper] For details on the dataset preprocessing, please see the [supplementary materials] Supporting code can be found on our [GitHub repo] Meta-Album on Papers with Code [Meta-Album]
Other versions of this dataset**
This page was built for dataset: Meta_Album_CRS_Extended
![[1]](https://meta-album.github.io/assets/img/samples/CRS.png){kind=link}