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aws / amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
https://sagemaker-examples.readthedocs.io
Apache License 2.0
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[Example Request] send an image (and receive a mask back) from a Lambda function to a semantic segmentation model endpoint #3055

Open yajain opened 2 years ago

yajain commented 2 years ago

Describe the use case example you want to see I want to send an image (and receive a mask back) from a Lambda function to a semantic segmentation model endpoint that was trained and deployed using SageMaker Notebook.

How would this example be used? Please describe. A website wants to train a semantic segmentation model and deploy it on AWS so that users can upload images on the website and the image can go to the trained semantic segmentation endpoint which returns a mask for floors in the image.

AWS Lambda, S3, Amazon SageMaker, API Gateway

**Describe what other services (other than SageMaker) are involved*** API Gateway, AWS Lambda, S3

Describe which dataset could be used. Provide its location in s3://sagemaker-sample-files or another source. Pascal VOC2012 dataset - http://host.robots.ox.ac.uk/pascal/VOC/voc2012/VOCtrainval_11-May-2012.tar

webideology commented 2 months ago

@yajain , have you made any progress with this?