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What Should I Do If a Training Job Created Using a Built-in Algorithm Fails?
What Should I Do If a Training Job Created Using a Built-in Algorithm Fails?
Built-in algorithms of ModelArts adopt MXNet and TensorFlow engines and are mainly used for detection of object classes and locations, image classification, and semantic image segmentation.
If a training job created using a built-in algorithm fails, the possible causes are as follows:
Check the type and labeling shapes of the corresponding dataset. Built-in algorithms do not support the datasets labeled by polygon (
). If the datasets labeled by polygon are used, the training fails. You are advised to change the dataset or change the labeling shape of the dataset from polygon to another one.
Parent topic: Built-in Algorithms
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