In this part and few in the future, we're going to cover how we can track and detect our own custom objects with this API.
I am doing this by using the pre-built model to add custom detection objects to it. That’s a decent jump from my findings, and it’s quite hard to locate any full step-by-step tutorials, so hopefully, I can help you with that. Once you finish this tutorial you will have the ability to train for any custom object you can think of (and create data for) - that’s an awesome skill to have in my opinion.
Text tutorial: [ Ссылка ]
GitHub tutorial: [ Ссылка ]
LabelImg utility: [ Ссылка ]
Pretrained models: [ Ссылка ]
Full playlist: [ Ссылка ]
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