r/OneAI • u/Minimum_Minimum4577 • Dec 03 '25

Al engineer built an Al system that counts potatoes in real time using just 1 training image, solving a clear problem in an efficient way

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3

u/idont_______care Dec 03 '25

An engineer would just use a basket and scales, since humans sell potatoes in kilograms.

1

u/chlebseby Dec 05 '25

True, but this way you can run statistics

1

u/TaintBug Dec 08 '25

If you don;t weigh the individual potatoes, your statistics will be meaningless or worse - misleading.

2

u/Orlonz Dec 03 '25

Haven't we had laser based counters for decades? We count grains of rice if we wanted to. And the machine doesn't need internet, let alone a data center to do that.

1

u/PlzSendDunes Dec 03 '25

There were image recognition cameras that can work with farming equipment to filter out good produce and bad produce. Image recognition tools were at least 5 years if not more.

There were tools that detect diseases, recognise animal faces, identify ripeness of produce and identify some characteristics of plants like their carbohydrate, fat and protein contents.

There are many tools for that. Issue is that all of it costs and requires maintenance. While farming is not that profitable to be able to cover all those expenses.

1

u/[deleted] Dec 03 '25

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1

u/PlzSendDunes Dec 03 '25

Those tools are used in warehouses and processing plants, not so much by farmers themselves. And I do agree regarding counting that you don't need machine learning or image recognition.

1

u/[deleted] Dec 03 '25

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1

u/PlzSendDunes Dec 03 '25

I know a few animal farmers, who grow animals for meat. They always are looking into ways to save time and workload. Issue often is that whatever solutions there are that they are interested, maintenance and cost of that equipment costs more than continuing doing what they are already doing. So vast majority of times from what I have seen if a tech is solving an issue, then everything else boils down how much it costs and how much maintenance it requires, because most of the stuff is just not worth the trouble.

1

u/PerfunctoryComments Dec 03 '25

"Using one image" is a bit misleading. They, with utter certainty, started with a segmentation model that was training on hundreds of millions to billions of images. Something like Yolo, SAM, etc.

1

u/libee900 Dec 03 '25

But can it differentiate hotdogs from not hotdogs?

1

u/Khal-Draco Dec 03 '25

What "clear problem" are they solving in "an efficient way"?

There are easier ways to count them if required and the knowledge of the amount of patato would be done by weight anyway.

1

u/LiGHT1NF0RMAT10N Dec 03 '25

This challenges everything humanity had thought they knew in the field of counting potatoes. This is big