As the title says I want to fine tune the model to detect with better accuracy for my images of shopping container ids.
images that are like these:
One picture for example is vertical and the other is horizontal.
My questons are below:
1) Should I preprocess my pictures?
2) How should I organize my database . For example should I have pictures like these for train, validation and, testing ? and how should I write it in the terminal when finetuning
3) Inside he text file, the labels should be like this? : id_27.jpg MSCU 629071 0
id_1.jpg M S C U 6 2 9 0 7 1 0
Because the first picture is horizontal and the letters have spacing should they be written as above?
And the second picture is vertical, should I consider giving each letter/number a space?
4) Can I have an example on how to do the testing of my model after I fine tuned it?
Good Afternoon,
As the title says I want to fine tune the model to detect with better accuracy for my images of shopping container ids. images that are like these:
One picture for example is vertical and the other is horizontal.
My questons are below:
1) Should I preprocess my pictures? 2) How should I organize my database . For example should I have pictures like these for train, validation and, testing ? and how should I write it in the terminal when finetuning 3) Inside he text file, the labels should be like this? : id_27.jpg MSCU 629071 0 id_1.jpg M S C U 6 2 9 0 7 1 0 Because the first picture is horizontal and the letters have spacing should they be written as above? And the second picture is vertical, should I consider giving each letter/number a space? 4) Can I have an example on how to do the testing of my model after I fine tuned it?
Thank you in advance, Vasilis Vasileiou