Timeline for Is there a way to improve the low-quality data?
Current License: CC BY-SA 4.0
5 events
| when toggle format | what | by | license | comment | |
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| May 31, 2022 at 2:35 | comment | added | CommunityBot | Your answer could be improved with additional supporting information. Please edit to add further details, such as citations or documentation, so that others can confirm that your answer is correct. You can find more information on how to write good answers in the help center. | |
| May 30, 2022 at 21:51 | comment | added | haddagart | You can use super resolution for ease of annotation purposes only. and then you can reduce the qualityof your dataset and the ground truth as well to return back to the original case you started with. So you can train a model that takes an input with bad quality. | |
| May 30, 2022 at 21:36 | comment | added | user55176 | These models fill in data that doesn't exist. Won't this hurt the accuracy of any network I train? Even if there isn't a noticable difference to the human eye, wouldn't this be useless to a computer? | |
| S May 30, 2022 at 20:57 | review | First answers | |||
| May 31, 2022 at 2:35 | |||||
| S May 30, 2022 at 20:57 | history | answered | haddagart | CC BY-SA 4.0 |