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managing more than 250 unique labels in a dataset

0

As per the documentation only 250 unique labels are supported in a manifest https://docs.aws.amazon.com/rekognition/latest/customlabels-dg/limits.html. I have a use case to train more than 3000 unique labels using AWS Rekognition.

Question: Should I have to create many training models(in my case 14 models) and search the input image with 14 training models to get the matching custom labels?

Topics
Machine Learning & AICompute
Tags
Amazon RekognitionHigh Performance ComputeMachine Learning & AI
Language
English
asked 2 years ago385 views
1 Answer
0

Hi, Yes your approach is right. You will need to train multiple models to cover the use case of all 3000 labels. 250 unique labels is a hard limit and cannot be increased.

AWS
answered 2 years ago

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