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What is the current accuracy of the uploaded project and trained model respectively? #13

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ZhangGongjie opened this issue Sep 3, 2018 · 9 comments

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@ZhangGongjie
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As above.

Thank you!

@yangxue0827
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The mAP of trained model is around 57.5,and this repo can get 60 or so. @ZhangGongjie

@ZhangGongjie
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May I ask how did you perform data augmentation to keep data balance?

Please kindly advise. (・ω´・ )

@yangxue0827
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Actually, I did not do any data balance. @ZhangGongjie

@ZhangGongjie
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That's amazing......

Actually, I am currently working on this dataset. I did not perform data balancing and get extremely low accuracy on some object instances like 'ground-track-field' and 'helicopter'.

Besides, could you please kindly advise how did you fuse the extremely large objects like ground-track-fields and roundabouts? Usually these kind of objects are split into parts when performing cropping to DOTA dataset.(・ω´・ )

@yangxue0827
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You can refer to my data process code. here. @ZhangGongjie

@yangxue0827
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The size of crop image is 800*800 with overlap 200 both in height and width. @ZhangGongjie

@ZhangGongjie
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From my experience, even an overlap of 200 cannot guarantee such large object fall into a single image without splitting.

@yangxue0827
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Yes, It's hard to guarantee coverage all objects.

@ZhangGongjie
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非常感谢!共同进步! :)

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