Anurag
Thanks for your reply..
Step I followed will be like
Created Classification Model using custom vision
Define Tag
Upload image for all the category
Train the Model
With this I can only test one image at a time. How can we test more than 10K images.
Could you pls help to implement end to end solutions...?
It will be great help...
Thanks in Advance..
Well anyway it ups to you how you implement the process of recognition. But I would say that the basic approach here is to call API asynchronously. You can start as much threads as you need either to upload all the images simultaneously or to split your video stream by frames and upload each frame one by one.