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Cloud removal

Remove haze and cloud from aerial imagery.

Result

splitPSNR
train n=160024.1264
val n=30023.9666
test n=10023.6964

The finding

Notes

- Fine-tuned from the published RICE2 generator for 60 epochs on 1,600 training pairs. - Train 24.13 / val 23.97 / test 23.70 - a tight spread across all three splits.

Output

Same subject across the row; each column is the same stage in every project.

InputPublished weightsThis runGround truth
InputPublished weightsThis runGround truth
00355
InputPublished weightsThis runGround truth
InputPublished weightsThis runGround truth
00365
InputPublished weightsThis runGround truth
InputPublished weightsThis runGround truth
00811
InputPublished weightsThis runGround truth
InputPublished weightsThis runGround truth
01596

Elsewhere

Code and full results on GitHub

Every number is read from the file the run produced. github.com/hammasbuilds · kaggle.com/muhammadhammas13