The noisy Bangla dataset is created using the offline Bangla dataset of handwritten digits by adding -
(1) additive white gaussian noise,
(2) motion blur and
(3) a combination of additive white gaussian noise and reduced contrast to the offline Bangla numeral dataset.
The datasets are available here:
bangla-with-awgn.gz
bangla-with-motion-blur.gz
bangla-with-reduced-contrast-and-awgn.gz
Noisy Bangla with Additive White Gaussian Noise (AWGN) | Noisy Bangla with Motion Blur | Noisy Bangla with reduced contrast and AWGN |
train_x | 193890x784 double (containing 193890 training samples of 28x28 images each linearized into a 1x784 linear vector) |
train_y | 193890x10 double (containing 1x10 vectors having labels for the 193890 training samples) |
test_x | 3999x784 double (containing 3999 test samples of 28x28 images each linearized into a 1x784 linear vector) |
test_y | 3999x10 double (containing 1x10 vectors having labels for the 3999 test samples) |