Here, we give the full list of publicly pre-trained models supported by the Hailo Model Zoo.
- Network available in Hailo Benchmark are marked with
- Networks available in TAPPAS are marked with
- Benchmark and TAPPAS networks run in performance mode
- All models were compiled using Hailo Dataflow Compiler v3.29.0
Network Name | mAP | HW Accuracy | FPS (Batch Size=1) | FPS (Batch Size=8) | Input Resolution (HxWxC) | Params (M) | OPS (G) | Pretrained | Source | Compiled |
---|---|---|---|---|---|---|---|---|---|---|
centernet_resnet_v1_18_postprocess | 26.37 | 25.04 | 79 | 121 | 512x512x3 | 14.22 | 31.21 | download | link | download |
centernet_resnet_v1_50_postprocess | 31.77 | 29.4 | 52 | 81 | 512x512x3 | 30.07 | 56.92 | download | link | download |
damoyolo_tinynasL20_T | 42.8 | 42.29 | 93 | 175 | 640x640x3 | 11.35 | 18.02 | download | link | download |
damoyolo_tinynasL25_S | 46.53 | 45.33 | 76 | 147 | 640x640x3 | 16.25 | 37.64 | download | link | download |
damoyolo_tinynasL35_M | 49.7 | 47.64 | 31 | 55 | 640x640x3 | 33.98 | 61.64 | download | link | download |
detr_resnet_v1_18_bn | 33.91 | 31.7 | 18 | 39 | 800x800x3 | 32.42 | 61.87 | download | link | download |
detr_resnet_v1_50 | 35.38 | 34.86 | 7 | 10 | 800x800x3 | 41.1 | 120.4 | download | link | download |
efficientdet_lite0 | 27.32 | 26.49 | 74 | 182 | 320x320x3 | 3.56 | 1.94 | download | link | download |
efficientdet_lite1 | 32.27 | 31.82 | 45 | 95 | 384x384x3 | 4.73 | 4 | download | link | download |
efficientdet_lite2 | 35.95 | 34.75 | 26 | 48 | 448x448x3 | 5.93 | 6.84 | download | link | download |
nanodet_repvgg | 29.3 | 28.57 | 176 | 321 | 416x416x3 | 6.74 | 11.28 | download | link | download |
nanodet_repvgg_a12 | 33.73 | 31.8 | 110 | 171 | 640x640x3 | 5.13 | 28.23 | download | link | download |
nanodet_repvgg_a1_640 | 33.28 | 32.94 | 83 | 119 | 640x640x3 | 10.79 | 42.8 | download | link | download |
ssd_mobilenet_v1 | 23.19 | 22.41 | 367 | 367 | 300x300x3 | 6.79 | 2.5 | download | link | download |
ssd_mobilenet_v2 | 24.18 | 22.97 | 109 | 241 | 300x300x3 | 4.46 | 1.52 | download | link | download |
tiny_yolov3 | 14.66 | 14.36 | 899 | 899 | 416x416x3 | 8.85 | 5.58 | download | link | download |
tiny_yolov4 | 19.18 | 17.72 | 474 | 474 | 416x416x3 | 6.05 | 6.92 | download | link | download |
yolov10b | 52.0 | 50.82 | 23 | 39 | 640x640x3 | 20.15 | 92.09 | download | link | download |
yolov10n | 38.5 | 36.59 | 126 | 280 | 640x640x3 | 2.3 | 6.8 | download | link | download |
yolov10s | 45.86 | 45.05 | 63 | 127 | 640x640x3 | 7.2 | 21.7 | download | link | download |
yolov10x | 53.7 | 51.84 | 11 | 18 | 640x640x3 | 31.72 | 160.56 | download | link | download |
yolov3 | 38.42 | 38.41 | 15 | 19 | 608x608x3 | 68.79 | 158.10 | download | link | download |
yolov3_416 | 37.73 | 37.62 | 25 | 38 | 416x416x3 | 61.92 | 65.94 | download | link | download |
yolov3_gluon | 37.28 | 35.76 | 16 | 21 | 608x608x3 | 68.79 | 140.7 | download | link | download |
yolov3_gluon_416 | 36.27 | 34.25 | 25 | 38 | 416x416x3 | 61.92 | 65.94 | download | link | download |
yolov4_leaky | 42.37 | 41.19 | 21 | 31 | 512x512x3 | 64.33 | 91.04 | download | link | download |
yolov5m | 42.59 | 41.29 | 45 | 72 | 640x640x3 | 21.78 | 52.17 | download | link | download |
yolov5m6_6.1 | 50.68 | 49.35 | 15 | 19 | 1280x1280x3 | 35.70 | 200.04 | download | link | download |
yolov5m_6.1 | 44.74 | 43.47 | 52 | 82 | 640x640x3 | 21.17 | 48.96 | download | link | download |
yolov5m_wo_spp | 43.06 | 41.5 | 49 | 77 | 640x640x3 | 22.67 | 52.88 | download | link | download |
yolov5s | 35.33 | 34.08 | 93 | 167 | 640x640x3 | 7.46 | 17.44 | download | link | download |
yolov5s_c3tr | 37.13 | 35.68 | 89 | 163 | 640x640x3 | 10.29 | 17.02 | download | link | download |
yolov5s_wo_spp | 34.79 | 33.88 | 107 | 195 | 640x640x3 | 7.85 | 17.74 | download | link | download |
yolov5xs_wo_spp | 33.18 | 32.23 | 138 | 299 | 512x512x3 | 7.85 | 11.36 | download | link | download |
yolov5xs_wo_spp_nms_core | 32.73 | 31.75 | 138 | 299 | 512x512x3 | 7.85 | 11.36 | download | link | download |
yolov6n | 34.29 | 32.48 | 355 | 355 | 640x640x3 | 4.32 | 11.12 | download | link | download |
yolov6n_0.2.1 | 35.16 | 33.98 | 160 | 339 | 640x640x3 | 4.33 | 11.06 | download | link | download |
yolov6n_0.2.1_nms_core | 35.16 | 34.05 | 69 | 120 | 640x640x3 | 4.32 | 11.12 | download | link | download |
yolov7 | 50.6 | 48.75 | 25 | 35 | 640x640x3 | 36.91 | 104.51 | download | link | download |
yolov7_tiny | 37.07 | 36.28 | 115 | 197 | 640x640x3 | 6.22 | 13.74 | download | link | download |
yolov7e6 | 55.37 | 53.69 | 4 | 5 | 1280x1280x3 | 97.20 | 515.12 | download | link | download |
yolov8l | 52.44 | 51.78 | 19 | 27 | 640x640x3 | 43.7 | 165.3 | download | link | download |
yolov8m | 49.91 | 49.11 | 38 | 60 | 640x640x3 | 25.9 | 78.93 | download | link | download |
yolov8n | 37.02 | 36.43 | 182 | 464 | 640x640x3 | 3.2 | 8.74 | download | link | download |
yolov8s | 44.58 | 43.9 | 88 | 151 | 640x640x3 | 11.2 | 28.6 | download | link | download |
yolov8x | 53.45 | 52.92 | 11 | 14 | 640x640x3 | 68.2 | 258 | download | link | download |
yolov9c | 52.6 | 51.25 | 18 | 27 | 640x640x3 | 25.3 | 102.1 | download | link | download |
yolox_l_leaky | 48.68 | 46.53 | 20 | 27 | 640x640x3 | 54.17 | 155.3 | download | link | download |
yolox_s_leaky | 38.13 | 37.31 | 107 | 216 | 640x640x3 | 8.96 | 26.74 | download | link | download |
yolox_s_wide_leaky | 42.0 | 40.0 | 49 | 70 | 640x640x3 | 20.12 | 59.46 | download | link | download |
yolox_tiny | 32.64 | 31.39 | 155 | 334 | 416x416x3 | 5.05 | 6.44 | download | link | download |