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