| Accuracy | Model | DataSet | Who? | Paper | Code |
| 🔥98.97% * 🔥89.62% ** |
BrainDigiCNN |
MindBigData2022_MNIST_EP [3Gb] * MindBigData2022_MNIST_IN [201Mb] ** |
Smita Tiwari, Shivani Goel and Arpit Bhardwaj | abs 🔒 2023 | n/a |
| 96.18% * 71.60% ** (at least Muse results are disputed due to i-reproducibility of results atm, authors please clarify to Dr. Lisa-Marie Vortmann to validate and peer review) |
RNN |
MindBigData2022_MNIST_MU [289Mb]
* MindBigData2022_MNIST_EP [3Gb] ** |
Nrushingh Charan Mahapatra and Prachet Bhuyan | abs 🔒 2023 | n/a |
| 95.4% | CNN-GAN | MindBigData2022_MNIST_EP [3Gb] | Nastaran Khaleghi, Shaghayegh Hashemi, Sevda Zafarmandi Ardabili, Sobhan Sheykhivand and Sebelan Danishvar | pdf 2023 | n/a |
| 91.29% | CNN | MindBigData2022_MNIST_IN [201Mb] | Nandini Kumari, Shamama Anwar and Vandana Bhattacharjee | book 🔒 2021 | n/a |
| claimed 88% but results are disputed, thanks to the code review by Dr. Lisa-Marie Vortmann and corroborated by David Vivancos the labels is not the digit but the channel number | R-CNN | MindBigData2022_MNIST_MU [289Mb] | Andrew Perez | colab 2023 | yes 👏 thaks for sharing code but please review your claims |
| 🔥86% | CNN | MindBigData2022_VisMNIST_Cap64 [544Mb] | Salvatore Falciglia, Filippo Betello, Samuele Russo, Christian Napoli | pdf 2024 | n/a |
| 🔥85% | CNN | MindBigData2022_Imagenet_IN_Spct [3Gb] 📷 | Matthew Zhang and Jeremy Lu | pdf 2024 | n/a |
| 75% | CNN | MindBigData2022_Imagenet_IN [201Mb]📷 | Adolfo Ramirez-Aristizabal | medium 2023 | n/a |
| 🔥73.54% * 72.91% ** 72.39% *** |
CNN* LSTM** DNN*** |
MindBigData2022_Imagenet_IN [201Mb]📷 | Saumya Kushwaha, Priyanka Jain and N. K. Jain | book 🔒 2023 | n/a |
| 70% | CNN | MindBigData2022_MNIST_EP [3Gb] | Rahul Mishra, Krishan Sharma, Arnav Bhavsar | pdf 2021 | n/a |
| 31.35% | A. B. DEvo MLP | MindBigData2022_MNIST_MU [289Mb] | Jordan J. Bird, Diego R. Faria, Luis J. Manso, Anikó Ekárt, Christopher D. Buckingham | pdf 2019 | n/a |
| 27.9% | REEGNet | MindBigData2022_Imagenet_IN [201Mb]📷 | Khushiyant, | Mathur, Vidhu | Kumar, Sandeep | Shokeen, Vikrant | abs 🔒 2024 | n/a |
| 22,42% | EEGNeX | MindBigData2022_MNIST_EP [3Gb] | Hang Du | pdf 2023 | n/a |
| 19.42% * 17.72% ** |
Transformer |
MindBigData2022_MNIST_EP [3Gb] *
MindBigData2022_MNIST_MU [289Mb] ** |
Omkar Muglikar | pdf 2021 | n/a |
| 16,69% | EEGNet-8,2 | MindBigData2022_MNIST_EP [3Gb] | Xia Chen, Xiangbin Teng, Han Chen, Yafeng Pan and Philipp Geyer | pdf 2023 | n/a |
| 10% | cnn? | MindBigData2023_MNIST-8B [52Gb]🧠+🎶 | Caelen Hilty and Zander Chown | medium 2024 | yes 👏 |
| ??? | ???? | MindBigData2023_MNIST-2B [14Gb]🧠+🎶 | no entries yet > Submit your model | ??? | ??? |
| ??? | ???? | MindBigData2022_VisMNIST_Cap64_Morlet [2Gb] 📷 | no entries yet > Submit your model | ??? | ??? |
| ??? | ???? | MindBigData2022_VisMNIST_MU2 [3Gb] | no entries yet > Submit your model | ??? | ??? |
| ??? | ???? | MindBigData2022_MNIST_MW [217Mb] | no entries yet > Submit your model | ??? | ??? |
| Accuracy | Model | DataSet | Who? | Paper | Code |
| 🔥95% |
CNN | MindBigData2022_MNIST_MU [289Mb] | Diganta Kalita | medium 2023 | yes 👏 |
| 85% | LSTM | MindBigData2022_MNIST_MU [289Mb] | Pablo Martín Puerto | pdf [SP] 2023 | n/a |