SSD Object Detection extracts feature maps using a base deep learning network, which is a CNN-based classifier and applies convolution filters to finally detect objects. Our implementation uses MobileNet as the base network (others might include- VGGNet, ResNet, DenseNet). SSD has a faster speed of Frame per second (FPS) but has trouble with detecting smaller objects and can detect only 20 objects.
SlimLoigx 2020. All Rights Reserved