Datasets › Oracle-MNIST
Oracle-MNIST (Oracle-MNIST: a Realistic Image Dataset for Benchmarking Machine Learning Algorithms)
We introduce the Oracle-MNIST dataset, comprising of 2828 grayscale images of 30,222 ancient characters from 10 categories, for benchmarking pattern classification, with particular challenges on image noise and distortion. The training set totally consists of 27,222 images, and the test set contains 300 images per class. Oracle-MNIST shares the same data format with the original MNIST dataset, allowing for direct compatibility with all existing classifiers and systems, but it constitutes a more challenging classification task than MNIST. The images of ancient characters suffer from 1) extremely serious and unique noises caused by three-thousand years of burial and aging and 2) dramatically variant writing styles by ancient Chinese, which all make them realistic for machine learning research. The dataset is freely available at https://github.com/wm-bupt/oracle-mnist.
Benchmarks archive 2025-07-28
All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Image Classification | Oracle-MNIST | ResNet-18 + Vision Eagle Attention Accuracy 97.20 | Vision Eagle Attention: a new lens for advancing image... | MahmudulHasan11085/Vision-Eagle-Attention | 4 | Compare |
Papers archive 2025-07-28
3 shown of 3 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 4. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| Vision Eagle Attention: a new lens for advancing image classification | 1 | 2 | 15 Nov 2024 | not harvested |
| Learning local discrete features in explainable-by-design convolutional neural networks | 1 | 1 | 31 Oct 2024 | not harvested |
| LR-Net: A Block-based Convolutional Neural Network for Low-Resolution Image Classification | 1 | 1 | 19 Jul 2022 | not harvested |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- Oracle-MNIST
1 variant name, as the archive lists them.
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