Classify pixel using deep learning

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10-21-2021 09:11 PM
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sharmaakki
New Contributor II

Dear All

I have been trying to use U-Net to train my deep learning model for classification of satellite data pixels but while train deep learning  model stage while selecting model parameter "U-Net" it shows an "ERROR 000800 The value is not a member of Single Shot Detector (Object detection) | RetinaNet (Object detection) | YOLOv3 (Object detection) | FasterRCNN (Object detection)."

I am using ArcGIS pro desktop interface.

I am not able to figure out why it is showing only object detection models not pixel detection models?

Please help me out in this.

 

Thanks in advance.

 

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SandeepKumar1
Esri Contributor

Hi,

In the previous step you have probably exported the training data in Pascal VOC Format. For training a Unet (Pixel Classification) Model, you need to export the training data in Classified Tiles format.

Thanks,

Sandeep

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2 Replies
SandeepKumar1
Esri Contributor

Hi,

In the previous step you have probably exported the training data in Pascal VOC Format. For training a Unet (Pixel Classification) Model, you need to export the training data in Classified Tiles format.

Thanks,

Sandeep

View solution in original post

sharmaakki
New Contributor II

Thanks a lot sir

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