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Farm Pin Crop Detection Challenge

Helping South Africa
$11 000 USD
Completed (~7 years ago)
Classification
Earth Observation
1481 joined
42 active
Starti
04 Mar 19
Closei
15 Sep 19
Reveali
16 Sep 19
Post detailing how I used eo-learn and fastai in this challenge
Data · 20 Sep 2019, 05:49 · 4

Participating in this challenge I found a really useful python library called eo-learn which is maintained by Sinergise who operate sentinel hub and are partly funded by the European Space Agency.

Eo-learn bridges the gap between earth observation data and the python data science and machine learning eco-system.

I wrote up a blog post on how I used eo-learn and fastai for this challenge here: https://medium.com/@sgrest/whats-growing-there-a5618a2e6933

Also my github repo is here: https://github.com/simongrest/farm-pin-crop-detection-challenge

I'm really interested to hear how everyone else approached this interesting problem!

Simon

Discussion 4 answers
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Excellent piece of work Simon.

Its amazing how open source allows us to solve problems with unique approaches.

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Hi!

Will you share your approach?

It is really interesting to know, how you achieve so huge gap compared with the second place.

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Yes I will once everything has been finalised.

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