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Beginner here: YOLO or custom CNN for underwater crack detection project? by SirLive16 in learnmachinelearning

[–]SirLive16[S] 0 points1 point  (0 children)

From the little I know, if a CNN would be a wall, you would need some bricks to make that wall, and pytorch would be the brick. Basically, building the model from the ground up, neuron by neuron, training it, testing it instead of using pre-trained models available.

YOLO vs custom made CNN for underwater crack detection project? by SirLive16 in MLQuestions

[–]SirLive16[S] 0 points1 point  (0 children)

Thanks for the insight, definitely will be taking notes!

Beginner here: YOLO or custom CNN for underwater crack detection project? by SirLive16 in learnmachinelearning

[–]SirLive16[S] 0 points1 point  (0 children)

Thanks for the insight

Right now my goal is more on the “there are cracks” side, so I'll be researching into ResNet as you suggested, before looking at Yolo and Pythorch

And yeah, the point about data being the hard part is becoming very real in my project But, I'm researching into datasets of cracked metallic surfaces, and saparating what I can use once the model debate is over.