One of the toughest Zindi competitons this year. Goodluck to the winners. Can't wait to see how you guys solved this problem.
Dirty data maybe?
So so right 🤣
Looking at these images, it was evident that the crop got harvested sometime in March or in April starting, which is expected as the wheat crop duration is 100 days, and in most of India, it gets harvested after March. So all the images after harvesting basically capture empty fields, which may be why the composite is not showing vegetation. This means we're basically classifying empty fields, as we lost the important information about the crop by making a composite with the empty fields.
"Time is important", @ASSAZZIN ,have you taken time into account while training? because I think it's the same for all images.
No, if I'm not mistaken, All observations has the same date!
Same here. Nothing seems to be working. I think the dataset could have been better.
1.50 -> 1.49 ->1.48 ->>>>1.46
1.72 ->1.61 ->1.51 ->1.31 ->1.22 ->>1.14
I do agree. It is super hard even just to recognize the field areas in an image.