
Each level of the feature map uses a separate 3x3 Convolution to estimate the class logits and box locations. 
The number of predictions that each head makes per level depends on the number of default boxes and the sizes of the feature maps.

Backbone Feature Extractor
The feature extractor reconfigures and enhances a standard VGG backbone with extra layers as depicted on the Figure 2 of the SSD paper: 

