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End of preview.
Balanced GTSRB (224x224)
This is a balanced GTSRB dataset containing 43 classes, with 1,000 training samples per class and the same number of test samples as in the original dataset.
All images have been resized to 224×224 using interpolation and padding, maintaining aspect ratio.
- For classes with fewer than 1,000 training samples, data augmentation was used to supplement the dataset (Note: without any flip transforms, thanks to this post).
For details on how the dataset was generated, you can refer to the flow.ipynb notebook in the repository.
- The dataset processing was assisted by AI coding.
Structure
gtsrb_224_balanced.zip:
GTSRB_224_balanced
├── test
│ ├── 00
│ │ ├── 00243.jpeg
│ ... ...
│ └── 12502.jpeg
└── train
├── 00
│ ├── 00000_00000.jpeg
│ ...
├── 01
...
License
According to the official site, the dataset is free to use.
And its copy was released with CC0 License in the Kaggle repo.
Citation
@inproceedings{Stallkamp-IJCNN-2011,
author = {Johannes Stallkamp and Marc Schlipsing and Jan Salmen and Christian Igel},
booktitle = {IEEE International Joint Conference on Neural Networks},
title = {The {G}erman {T}raffic {S}ign {R}ecognition {B}enchmark: A multi-class classification competition},
year = {2011},
pages = {1453--1460}
}
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