COCO

Network Name mAPQuantizedInput Resolution (HxWxC)Params (M)FLOPs (G)PretrainedSourceCompiled
centernet_resnet_v1_18_postprocess 26.2924.72512x512x314.2215.63link link link
centernet_resnet_v1_50_postprocess 31.7829.64512x512x330.0728.46link link link
efficientdet_lite0 27.4326.27320x320x33.560.99link link link
efficientdet_lite1 32.4631.69384x384x34.732link link link
efficientdet_lite2 36.1635.06448x448x35.933.42link link link
nanodet_repvgg 29.328.53416x416x36.745.64link link link
nanodet_repvgg_a1_640 33.2832.88640x640x310.7921.4link link link
ssd_mobilenet_v1 🚀 ⭐ 23.1722.29300x300x36.791.25link link link
ssd_mobilenet_v1_hd 17.6615.73720x1280x36.8112.26link link link
ssd_mobilenet_v2 🚀 24.1523.28300x300x34.460.76link link link
tiny_yolov3 🚀 14.3613.45416x416x38.852.79link link link
tiny_yolov4 19.1817.73416x416x36.053.46link link link
yolov3 ⭐ 38.4237.88608x608x368.7979.17link link link
yolov3_416 37.7335.86416x416x361.9232.97link link link
yolov3_gluon 🚀 ⭐ 37.2835.64608x608x368.7979.17link link link
yolov3_gluon_416 🚀 ⭐ 36.2734.92416x416x361.9232.97link link link
yolov4_leaky 🚀 ⭐ 48.3246.96512x512x364.3345.60link link link
yolov5l 46.0144.01640x640x348.5460.78link link link
yolov5m 42.5940.93640x640x321.7826.14link link link
yolov5m_wo_spp 🚀 42.4640.66640x640x322.6726.49link link link
yolov5s 35.3334.25640x640x37.468.72link link link
yolov5s_personface 47.745.55640x640x37.258.38link link link
yolov5xs_wo_spp 32.7831.8512x512x37.855.68link link link
yolov5xs_wo_spp_nms 32.5730.87512x512x37.855.68link link link
yolov6n 34.2932.29640x640x34.325.57link link link
yolov7 49.7247.06640x640x336.9152.34link link link
yolov7_tiny 36.4935.39640x640x36.226.87link link link
yolox_l_leaky ⭐ 48.6847.08640x640x354.1777.74link link link
yolox_s_leaky 38.1337.33640x640x38.9613.37link link link
yolox_s_wide_leaky 42.441.01640x640x320.1229.73link link link
yolox_tiny 32.6431.32416x416x35.053.22link link link
  • Network available in Hailo Benchmark are marked with 🚀
  • Networks available in TAPPAS are marked with ⭐

Visdrone

  • Networks available in TAPPAS are marked with ⭐