[ORAI Subscription Edition Solution] Image-Object-Detection-ResNet50-SSD300-Caffe (Using SSD 300 algorithm and Caffe framework for PCB object detection)

Fig. 34. train_result.txt and test_result.txt content.png

 

Image_PCB_ResNetSSD300_Caffe uses the Caffe framework, which is more than twice as fast as Keras. Unlike other Image_PCB_SSD300_Caffe, it uses the resNet network architecture, and uses the SSD (Single Shot MultiBox Detector) deep learning algorithm to train the model. A good model detects the capacitance on the PCB. The size of this training image is 300 × 300.

 

Image-Object-Detection-ResNet50-SSD300-Caffe-English-20200206.pdf

 

 

 

 

 


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