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Benchmarks
Optical Character Recognition on MNIST (test)
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0.71
Error Rate
Fastfood 1024
0.7016
0.7583
0.815
0.8717
Dec 22, 2014
Error Rate
Accuracy
Updated 4d ago
Evaluation Results
Method
Method
Links
Error Rate
Accuracy
Fastfood 1024
Number of features=102...
2014.12
0.71
-
Fastfood 2048
Number of features=204...
2014.12
0.71
-
Adaptive Fastfood 1024
Number of features=102...
2014.12
0.72
-
Adaptive Fastfood 2048
Number of features=204...
2014.12
0.73
-
Fastfood 1024 (ND)
Number of features=102...
2014.12
0.83
-
Adaptive Fastfood 1024 (ND)
Number of features=102...
2014.12
0.86
-
Reference Model
Architecture=LeNet, Pa...
2014.12
0.87
-
Fastfood 2048 (ND)
Number of features=204...
2014.12
0.9
-
Adaptive Fastfood 2048 (ND)
Number of features=204...
2014.12
0.92
-
SOTA
Evaluation Protocol=Fi...
2021.02
-
99.8
Raw Pixels
Evaluation Protocol=Li...
2021.02
-
92.5
ES Best
Evaluation Protocol=Li...
2021.02
-
98.9
CLIP
Evaluation Protocol=Li...
2021.02
-
99.2
CLIP
Evaluation Protocol=Ze...
2021.02
-
88.4
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