Class and Data Image and Number Cards maximum

Ms. Kelly Powers

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Nov 5, 2025, 5:06:07 PMNov 5

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Hello,

We have some large projects that are images and numbers. Is there a limit to the maximum number of images in total for a project, and is there a maximum for the total number of classes?

We have been getting stuck in the Learn and Test Phase with the web page/system due to a student uploading too many images into their projects and I want to give them some ranges to work with.

Kelly

Dale Lane

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Nov 5, 2025, 5:08:06 PMNov 5

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If you're storing projects in the cloud, there is a limit of 100 images per project (ref).

The limit is to help me manage my storage costs, so if you're storing projects on your own computer, I have no reason to enforce any limit.

Kind regards

D

Ms. Kelly Powers

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Nov 6, 2025, 8:54:25 AMNov 6

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Hi Dale,

My students are storing images in the web browser. One student put in 4000 images of ocean images and 1000 of ocean trash and ML4Kids was hanging. This is a bit excessive so I was hoping for a range to suggest to them.

KP

Dale Lane

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Nov 6, 2025, 9:01:35 AMNov 6

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The key to recognise is that they're not only storing the images in the web browser, they're also doing all of the model training and inference in the web browser too.

All of it is being done on their own computer.

When you say that they saw ML4Kids hanging, what this means is that *their web browser* was hanging because the amount of work needed exceeded what *their machine* was comfortably capable of. That's a factor of the CPU and memory available on their physical computer, and to a lesser extent a factor of whatever other applications they were currently running.

It's difficult for me to make broad declarations about sensible maximums - for example, I suspect I would've been able to train the sort of model you describe without problems, but then I'm fortunate enough to probably have a faster and more powerful computer than you're able to provide to students.

If you want absolute lowest-common-denominator recommendation, the 100-images limit that I normally use (albeit influenced by cloud storage) is easily trainable on even low-powered devices such as Raspberry Pis.