6. Supported Models
The FPGA AI Suite supports the following pretrained models from OpenVINO™ Model Zoo. Many other models not listed here are also supported.
| Model Zoo 2023.3 LTS path |
Model |
Framework |
|---|---|---|
| public/mobilenet-v1-1.0-224 |
MobileNet V1 |
Caffe |
| public/mobilenet-v2 |
MobileNet V2 |
Caffe |
| public/mobilenet-v2-1.4-224 |
MobileNet V2 |
TensorFlow |
| public/mobilenet-v3-large-1.0-224-tf |
MobileNet V3 |
TensorFlow |
| public/resnet-50-tf |
ResNet-50 |
TensorFlow |
| intel/unet-camvid-onnx-0001 |
UNet |
PyTorch |
| public/yolo-v3-tf |
YOLO v3 |
TensorFlow |
| public/yolo-v3-tiny-tf |
TinyYOLO v3 |
TensorFlow |
| Yolo v8 (all heads) | PyTorch | |
| public/squeezenet1.1 | SqueezeNet v1.1 | Caffe |
| public/i3d_rgb_tf | Inflated 3D (I3D) | TensorFlow |
| Multilayer Perceptrons (MLPs) |
Not all supplied IP configuration .arch files support all models. For a detailed list that shows performance/support for these models on each of the supplied IP configuration (.arch) files, refer to "Model Performance" in FPGA AI Suite IP Reference Manual .