Main Takeaway: 48 instances of class damaged with average precision: 0.5804 136 instances of class undamaged with average precision: 0.7598 ... This is a tutorial teaching you how to build your own dataset and train an object detection network on that data.

Evaluating Training And Converting Retinanet Model -

48 instances of class damaged with average precision: 0.5804 136 instances of class undamaged with average precision: 0.7598 ... This is a tutorial teaching you how to build your own dataset and train an object detection network on that data. This week, we'll go through a paper at the intersection of llms and recsys.

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  • 48 instances of class damaged with average precision: 0.5804 136 instances of class undamaged with average precision: 0.7598 ...
  • This is a tutorial teaching you how to build your own dataset and train an object detection network on that data.
  • This week, we'll go through a paper at the intersection of llms and recsys.

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Evaluating, Training and Converting  RetinaNet Model

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48 instances of class damaged with average precision: 0.5804 136 instances of class undamaged with average precision: 0.7598 ...

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