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Added dataset suggestions for deciding which model to use.
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README.md
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@@ -6,4 +6,10 @@ Create and deploy to production a simple neural network for Computer Vision
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* JAX Library for computing gradients, performing tensor operations and scheming the segmentation model
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* Wandb for metrics and training tools
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* MLflow for deploying and compiling the model for production
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* Gradio for interactive user-experience platform within
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* JAX Library for computing gradients, performing tensor operations and scheming the segmentation model
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* Wandb for metrics and training tools
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* MLflow for deploying and compiling the model for production
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* Gradio for interactive user-experience platform within an online platform (Data-ICMC Website).
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# Datasets to consider
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* [LabelMe 12 50k](https://www.kaggle.com/datasets/dschettler8845/labelme-12-50k)
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* [City-Scapes](https://www.cityscapes-dataset.com/dataset-overview/)
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* [CamVid](http://mi.eng.cam.ac.uk/research/projects/VideoRec/CamVid/)
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