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HAILO15M_semantic_segmentation.rst

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Public Pre-Trained Models

Here, we give the full list of publicly pre-trained models supported by the Hailo Model Zoo.

  • Benchmark Networks are marked with rocket
  • Networks available in TAPPAS are marked with star
  • Benchmark and TAPPAS networks run in performance mode
  • All models were compiled using Hailo Dataflow Compiler v3.29.0

Cityscapes

Network Name mIoU HW Accuracy FPS (Batch Size=1) FPS (Batch Size=8) Input Resolution (HxWxC) Params (M) OPS (G) Pretrained Source Compiled
fcn8_resnet_v1_18 69.41 69.26 18 20 1024x1920x3 11.20 142.82 download link rgbx
segformer_b0_bn 69.81 68.18 11 19 512x1024x3 3.72 35.76 download link rgbx
stdc1 rocket 74.55 73.95 16 24 1024x1920x3 8.27 126.47 download link rgbx

Oxford-IIIT Pet

Network Name mIoU HW Accuracy FPS (Batch Size=1) FPS (Batch Size=8) Input Resolution (HxWxC) Params (M) OPS (G) Pretrained Source Compiled
unet_mobilenet_v2 77.32 77.02 146 245 256x256x3 10.08 28.88 download link rgbx

Pascal VOC

Network Name mIoU HW Accuracy FPS (Batch Size=1) FPS (Batch Size=8) Input Resolution (HxWxC) Params (M) OPS (G) Pretrained Source Compiled
deeplab_v3_mobilenet_v2 76.04 74.58 43 57 513x513x3 2.10 17.65 download link rgbx
deeplab_v3_mobilenet_v2_wo_dilation 71.46 71.05 86 119 513x513x3 2.10 3.21 download link rgbx