# Two labels, getting converted to 0 and 247

**URL:** </static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Ftwo-labels-getting-converted-to-0-and-247%2F83435%3E%5C
**Category:** 🤗Datasets\
**Created:** [April 24, 2024, 3:11am UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Ftwo-labels-getting-converted-to-0-and-247%2F83435 "2024-04-24T03:11:50Z")\
**Posts on this page:** 1\
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**Author:** ![vigneshgs7](https://avatars.discourse-cdn.com/v4/letter/v/e9c0ed/32.png) [@vigneshgs7](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2Fvigneshgs7)%5C
**Post date:** [April 24, 2024, 3:11am UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Ftwo-labels-getting-converted-to-0-and-247%2F83435%2F1 "2024-04-24T03:11:50Z")

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Someone please help me out here, while doing augmentation with SegformerImageProcessor from Transformers, my original labels are 0 for background and 1 for object, I’m seeing the values in my labels are of two individual values 255 and 247, and 247 is out of bunds ERROR. 255 because i set reduce\_labels to true, and 0 gets converted to 255 is what the doc says. I converted my labels to numpy array before augmentation and it has the values 0 and 248, but on another scenario where i had used segments.ai, the labels after being passed to SegformerImageProcessor was returning values 0 and 1, which was as expected, my doubt is can i manually convert the labels 255 to 0 and 247 to 1 in the first case, and hopefully trainer.train() will run then without errors, Or is my approach wrong? Or should I make any changes to my labels dataset to begin with.