Kazakh Offline Handwritten Text Dataset
Kazakh offline Handwritten Text dataset (KOHTD) has 3000 handwritten exam papers and more than 140335 segmented images and there are approximately 922010 symbols. It can serve researchers in the field of handwriting recognition tasks by using deep and machine learning.
Image source: https://github.com/abdoelsayed2016/KOHTD
Variants: KOHTD
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Handwriting Recognition | Flor | KOHTD: Kazakh Offline Handwritten Text … | 2021-09-22 |
| Handwriting Recognition | Puigcerver | KOHTD: Kazakh Offline Handwritten Text … | 2021-09-22 |
| Handwriting Recognition | Abdallah | KOHTD: Kazakh Offline Handwritten Text … | 2021-09-22 |
| Handwriting Recognition | Bluche | KOHTD: Kazakh Offline Handwritten Text … | 2021-09-22 |
Recent papers with results on this dataset: