I have a requirement to download the images for a list of areas of interest. Doing it one by one is taking too much time. So I decided to run two-three instance of the code(Doing with separate notebook instances which tries to download different area of interests). But I can't able to run more than two Jupiter notebooks in parallel, The clip API throws an error. I wanted to know is there a limit for the concurrent requests to clip. how can we overcome this bottleneck to improve our speed of data collection?
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