Single Shot Detection (SSD) is another fast and accurate deep learning object-detection method with a similar concept to YOLO, in which the object and bounding box are predicted in the same architecture.
Face detection with SSD
SSD model architecture
The SSD algorithm is called single shot because it predicts the bounding box and the class simultaneously as it processes the image in the same deep learning model. Basically, the architecture is summarized in the following steps:
- A 300 x 300 image is input into the architecture.
- The input image is passed through multiple convolutional layers, obtaining different features at different scales.
- For each feature map obtained in 2, we use a 3 x 3 convolutional filter to evaluate...