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  • Created over 3 years ago
  • Updated over 2 years ago

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Repository Details

The main objective of this project is to make a comparison between the performance of neural networks on both the CPU and the VPU in terms of speed and time. In this project - instead of training an object detection model from scratch using our own data set - we used a framework called Detecton2, which uses the latest models such as Fast, Faster, Mask R-CNN...etc. Detectron2 is FAIR's next-generation platform for object detection and segmentation.