# Applying Semantic Segmentation to own data

**URL:** <https://community.deeplearning.ai/t/applying-semantic-segmentation-to-own-data/391525>\
**Category:** Convolutional Neural Networks\
**Tags:** coursera-platform\
**Created:** [July 20, 2023, 2:30pm UTC](https://community.deeplearning.ai/t/applying-semantic-segmentation-to-own-data/391525 "2023-07-20T14:30:59Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![EduardoChicago](https://avatars.discourse-cdn.com/v4/letter/e/9dc877/32.png) [@EduardoChicago](https://community.deeplearning.ai/u/EduardoChicago)\
**Post date:** [July 20, 2023, 2:30pm UTC](https://community.deeplearning.ai/t/applying-semantic-segmentation-to-own-data/391525/1 "2023-07-20T14:30:59Z")

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My question is how/where to find guidance for implementing Semantic Segmentation on our own data.  
First, how to label a training set for Semantic Segmentation. How does a “trainer” generate the masks? I realize that labels should be generated for every pixel. Seems daunting; I am sure there are efficient tf/Keras ways to do that…  
Thanks for your help

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**Author:** ![Elemento](https://sea1.discourse-cdn.com/dlai/user_avatar/community.deeplearning.ai/elemento/32/854_2.png) [@Elemento](https://community.deeplearning.ai/u/Elemento)\
**Post date:** [July 20, 2023, 2:59pm UTC](https://community.deeplearning.ai/t/applying-semantic-segmentation-to-own-data/391525/2 "2023-07-20T14:59:42Z")

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Hey @EduardoChicago,  
I believe that applying semantic segmentation on existing datasets is out of the picture, but if that is something you want to consider, you can check this [thread](https://community.deeplearning.ai/t/any-recommendations-for-semantic-segmentation-dataset/154194) out.

Now, coming to your exact question, [this](https://community.deeplearning.ai/t/week3-how-to-prepare-the-ground-truth-vector-y/136414) and [this](https://community.deeplearning.ai/t/c4w3-data-annotation-for-semantic-segementation/106020) thread discusses how to prepare the ground truth vectors for images in your own dataset.

Let us know if this helps.

Cheers,  
Elemento
