Help on Support Vector Machines
Hi everyone, I'm kind of new so forgive my post if it's out of place or something.😁
I'm currently working on developing a vision-based vehicle identification system. I'm just starting out and have never dealt with anything this big before, and while starting out I read that in order to recognize a vehicle from an image or video feed you'll need to classifiers that will be used by your detector, so on and so forth (hope somebody understands what I'm talking about😕).
It said that support vector machines are suppose to be what you use to create these classifiers, and I need help understanding SVMs. If anyone can point me to the right direction where I can learn about SVMs or what I'm trying to do here, please help me out. 😁
I'm currently working on developing a vision-based vehicle identification system. I'm just starting out and have never dealt with anything this big before, and while starting out I read that in order to recognize a vehicle from an image or video feed you'll need to classifiers that will be used by your detector, so on and so forth (hope somebody understands what I'm talking about😕).
It said that support vector machines are suppose to be what you use to create these classifiers, and I need help understanding SVMs. If anyone can point me to the right direction where I can learn about SVMs or what I'm trying to do here, please help me out. 😁
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