Auto ML for Computer Vision in Azure Machine Learning

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This video shows how to leverage Auto ML for Computer Vision in Azure Machine Learning over a GPU compute cluster. It contains a hands-on example of using Auto ML for object detection and deploying the model on a Kubernetes cluster for real-time inferencing.

The example code utilized in the video:

AutoML for computer vision in Azure Machine Learning documentation:

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#AzureMachineLearning #AutoML #ComputerVision #ObjectDetection #AzureAutoML #ComputeCluster#Azure #AI #ML #MachineLearning #Microsoft
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That's so cool MG, had a lot of fun watching this :)

radukopetz
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Thanks MG for walking us through the tutorial. Is it possible to use a CPU Cluster instead of a GPU Cluster knowing that the numbers of images are relatively low (~ 100 images), and i would like to classify them to be continuing/not continuing red color in them?

moeeljawad
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Hello MG, thanks a lot for your video :), it's great to watch it

noria
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hello mg, this video is excelent congratulations, please you could post the link of the github, because the link que have in your video is faill,
Thanks

andresurrea
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Hello Guys, i have a question regarding the visualization part, is it possible to run an inference and visualize the results using azure SDK?

noria
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@MG I have a use case to identify the data drift in CV image data, so far i have not found any tools or services natively available in azureml, can you please do a video on for this?

kamalraj
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This video only mentions calling the endpoint with the path to the local image file as the payload. A tutorial on using real time inference with images taken client-side would be nice.

Also the link in your description returns 404 error :/

maxurbas
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Hello MG, I got this errormessage
TypeError Traceback (most recent call last)
Cell In[38], line 26


TypeError: got multiple values for keyword argument 'primary_metric'"


I will appreciate your kind assistance.

paulmadu-zg