ICLR Workshop Challenge #2: Radiant Earth Computer Vision for Crop Detection from Satellite Imagery
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Helping Kenya
$5 000 USD
Challenge completed over 5 years ago
Classification
Earth Observation
644 joined
110 active
Start
Feb 03, 20
Close
Mar 28, 20
Reveal
Mar 29, 20
Getting in the top20 with no effort.
Data · 3 Mar 2020, 16:26 · 5
https://colab.research.google.com/drive/1DPizsNT7GUK776TRDmk5rZVMsB1kJY5H#scrollTo=533Q-XzAd-5Q
Johno's notebook which was his starter notebook shared earlier will get you a 1.20 score and in the top20 with little tweaking on the hyperparameters.
Beginners in Computer Vision like me can try it :)
Neat! I guess that's now significant information because of the current update of the rules..
Quick one though.... what reference is "SampleSub.csv" in ss = pd.read_csv('SampleSub.csv') pointing to?
The submission file that is given in the data section of the challenge. It's the file format you need to submit to the platform for it to be a valid submission. He's just reading the original submission file and replacing the target columns with the predictions he generated.
Thanks very much
Thank you so much for sharing this.
Hi, please is there a way of generating coordinates for the Sample Sub.csv file? Would have loved to plot these points and visualize them in Google Earth Engine