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Use Yolo for anomaly detection #9906
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@tanzerlana yes YOLO will work for anomaly detection and/or detection of different types of crates like normal, damaged etc. The simplest way to start is to collect a dataset of the breakdown you are interested and and then train a model to establish a performance baseline. See Tips for Best Results for additional details. Tutorials
Good luck 🍀 and let us know if you have any other questions! |
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Hello!
I do have my software running with a yolo network that recognizes some folded crates. Since Yolo is already implemented, I was thinking to add a second network that runs in parallel, to detect if the crate has some bags inside and if it is broken (aka walls missing.)
Basically the idea is to train a generic network that can differentiate between:
the crates can vary in shape and color, so I was wondering if this is a good idea.
my questions are:
any help on this is greatly appreciated.
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