How to access my Roboflow data for custom training in google colab or on my computer without downloading it

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1

I have labeled my project images and have created a dataset version for object detection. I am trying to access this data with Google Colab or my computer (my computer just died and current computer has no GPU and no storage space) without having to download it. Google Colab apparently has a known issue where if there are more than 1000 objects in a folder it will not run. My images are 162k. I keep trying to find ways to access my images, without downloading them, so I can custom train my data with transfer learning from YOLO11.
I have labeled my images with the class and bounding box that relates to each class (i.e. deer, doe, buck).
Another question is if I have to train first with Object detection and then again for classification and then again with bounding boxes, or can it be done at the same time?

My Colab is using Python3 A100 GPU.

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Im working on Colab and my dataset has 6K image. Are u sure about the colab running issue ?

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The number may be off, but I got the message when I was trying to put my 172k images in a folder. Oh, yes, I was putting it in Drive to have them persist. My bad. No matter what, uploading or downloading to colab Content or Drive is incredibly slow.

I finally put the images up on Google Cloud Bucket, but they still need to be downloaded to Colab. That is really annoying and I would think I should be able to point to my images on Roboflow so I can do transfer learning on the initial model I have trained.

4

Unfortunately I believe this is a limitation of Colab, where all the files need to be directly present in the Google environment.