ICLR Workshop Challenge #1: CGIAR Computer Vision for Crop Disease
Helping East Africa
$5 000 USD
Completed (~6 years ago)
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Computer Vision
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Start
Jan 29, 20
Close
Mar 28, 20
Reveal
Mar 29, 20
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Using KFold cross validation and densenet in Fastai
Notebooks · 2 Mar 2020, 07:52 · 7
Sharing code for doing KFold cross validation using Densenet in FastAI
What was the accuracy using KFold?
Not very high. Only about 0.83.
Need to try some augmentations and
Yeah, also initially we have 876 images or 1189 as I can see in your notebook?
Also not able to import models.densenet501
I think there is no densenet501. There are densenet121, densenet169, densenet201, densenet161 models.
Yes I am really sorry. There was an error on my part. It should be densenet201. Extremely sorry for the confusion.
https://github.com/anindabitm/ICLR-Workshop-Challenge-1-CGIAR-Computer-Vision-for-Crop-Disease/blob/master/ICLR_crop_diseases_fastai.ipynb