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Ship detection with Arc GIS Pro - deep learning

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04-27-2020 05:26 AM
Elbertde_Hon
New Contributor II

Currently I try to develop and apply a deep learning model to detect vessels. I imported aerial imagery (3 bands, Color Infrared, 25 cm resolution, ECW files) and created manually about 200 training samples of ships. As software I used Arc GIS Pro in combination with Jupyter Notebook.

I exported the training samples to image chips and trained a model with 78% accuracy which looks promising. 

As a last step I used the 'Detect Objects for Deep Learning' tool to apply my model. Results are shown in the image below:

Did I something wrong that I get different predictions for actually one individual ship?

I hoped to get something like this:

Any suggestions how could I improve my results? Thanks in advance for your help!

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2 Replies
WilliamHarbert
New Contributor III

Interesting.  I would adjust the confidence parameter perhaps.  That could help. Also how many ships did you have for training?  Were they similar to those you wished to identify or more variable?  Did the labeled objects you used for the training include the entire ship (as you showed in your preferred result)?

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Edward_Wong
New Contributor

Hey, not sure if you are still working on this, but the issue above will be related to the chip size and stride of your training data. Your objects are relatively big and the default value '256' - from memory will not work for you.

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