metricsevaluationamazon-sagemakersemantic-segmentation
How to interpret the Throughput metric for Semantic Segmentation?
I am beginning to train a semantic segmentation model in AWS Sagermaker and they provide the following metrics for the output. I understand mIOU, loss, and pixel accuracy, but I do not know what throughput is or how to interpret it. Please see the image below and let me know if you need additional information.
Solution
Throughput is reported in records per second (i.e. images per second). It shows how fast the algorithm can iterate over training or validation data. For example, with a throughput of 30 records/sec it would take a minute to iterate over 1800 images.
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