The SSD Detection library is commonly used with the SSD neuron network. SSD is a neural network which is used to detect objects. The input is a picture with some objects you want to detect. The output is a vector of the result structure containing the information of each detection box. The following image shows the result of SSD detection.
Figure 1. SSD Detection Example
The following table lists the SSD detection models supported by the Vitis AI Library.
No | Model Name | Framework |
---|---|---|
1 | ssd_mobilenet_v1_coco_tf | TensorFlow |
2 | ssd_mobilenet_v2_coco_tf | |
3 | ssd_resnet_50_fpn_coco_tf | |
4 | mlperf_ssd_resnet34_tf | |
5 | ssdlite_mobilenet_v2_coco_tf | |
6 | ssd_inception_v2_coco_tf | |
7 | ssd_pedestrian_pruned_0_97 | Caffe |
8 | ssd_traffic_pruned_0_9 | |
9 | ssd_adas_pruned_0_95 | |
10 | ssd_mobilenet_v2 |