Data augmentation, aiming to create variations for training data, has shown its power for this issue.
To obtain a competing performance with a deep learning algorithm, enough amount of annotated data is requested but in the natural world, scarce or imbalanced data are common, and annotated data is expensive or hard to collect.
4College of Artificial Intelligence, Tianjin University of Science and Technology, Tianjin, Chinaĭeep learning shows its advantages and potentials in plant disease recognition and has witnessed a profound development in recent years. 3Department of Computer Engineering, Mokpo National University, Jeonnam, South Korea. 
2Core Research Institute of Intelligent Robots, Jeonbuk National University, Jeonbuk, South Korea. 1Department of Electronics Engineering, Jeonbuk National University, Jeonbuk, South Korea. See the license file for more info.Mingle Xu 1,2, Sook Yoon 3 *, Alvaro Fuentes 1,2, Jucheng Yang 4 and Dong Sun Park 1,2 * AboutĬreated by in 2019 under MIT licence. You must have Tesseract OCR package installed. Save that image to test_images subfolder and you are all done! Good thing is that you can save multiple images and translate them at once! Now simply run the file. Then make screenshot of text you want to translate (on windows > windows + PrtSc or just Sc (depending on your system options)). There are many other useful situations where to use it. You can use this script and simply translate it in seconds (depending on your machine performance). In front of downloading the file, extracting it, opening it, then copying the text and giving it to a translator. I found this useful when trying to translate text of a pdf book. 
Finally it prints out the translated text on command line (terminal). Then it translates the text to destination language (by default from english to czech). This simple script takes all the images in a folder and takes text in it (using OCR). Translates text on image using Python and OCR.
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