Primary competition visual

GeoAI Challenge for Cropland Mapping by ITU

Helping Iran (Islamic Republic of), Sudan
and 1 other country
  • Iran (Islamic Republic of)
  • Sudan
  • Afghanistan
  • Scroll to see more
$4 000 USD
Challenge completed ~2 years ago
Classification
362 joined
74 active
Starti
Jun 30, 23
Closei
Oct 05, 23
Reveali
Oct 05, 23
User avatar
Rakesh_Jarupula
National Institute of Technology Silchar
I think April 2022 data is not enough for AFG region
Data · 29 Sep 2023, 05:00 · 5

Hello @Lolletti

For the afghanisthan region, training data from April may not be sufficient (atleast for me. Getting ~80% accuracy). This makes sense because in this period most of the crops are harvested, which doesn't help in classification.

And are the labels are credible for the afg region for the train and test period. Because there is huge perfomance gap with respect to other regions.

If the labels were collected during different time periods....then the modelling only for April is not useful idea. Same is true for the test dataset.

I was wondering how the top teams are approaching the AFG region modelling.

Thanks

Discussion 5 answers
User avatar
enigmatic

I have exactly 80% accuracy for Afg too, difficult to go higher than that

29 Sep 2023, 06:11
Upvotes 0

Thanks for your query. I confirm that data were collected in April 2022 and are based on visual interpretation of VHR images. Participants are allowed to increase the test dataset with open source data. Considering the challenge represented by the limited time window, 80% of accuracy isn't that bad in my personal opinion.

29 Sep 2023, 07:50
Upvotes 1
User avatar
Rakesh_Jarupula
National Institute of Technology Silchar

I thinks it's train data instead of test data that we can collect.

Yes yes, I meant training data.... I apologize, thanks for correcting

User avatar
Rakesh_Jarupula
National Institute of Technology Silchar

Thank you.