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Public Models

  • System host: Intel® Core™ i5-9400 CPU @ 2.90GHz
  • Hailo Dataflow Compiler Version v5.3.0
  • Measurement conditions: Measuring from the SoC, room temperature

Object Detection


Link Legend


Key / Icon Description
Networks used by Hailo-apps.
S Source – Link to the model's open-source repository.
PT Pretrained – Download the pretrained model file (ZIP format).
HEF, NV12, RGBX Compiled Models – Links to models in various formats: - HEF: RGB format - NV12: NV12 format - RGBX: RGBX format
PR Profiler Report – Download the model's performance profiling report.

Coco


Network Name float mAP Hardware mAP FPS (Batch Size=1) FPS (Batch Size=8) Links Input Resolution (HxWxC) Params (M) OPS (G)
centernet_resnet_v1_18_postprocess 26.4 24.8 281 281 512x512x3 14.22 31.21
centernet_resnet_v1_50_postprocess 31.8 29.5 101 159 512x512x3 30.07 56.92
damoyolo_tinynasL20_T 42.8 42.2 207 405 640x640x3 11.35 18.02
damoyolo_tinynasL25_S 46.5 45.3 115 213 640x640x3 16.25 37.64
damoyolo_tinynasL35_M 49.7 47.8 73.8 143 640x640x3 33.98 61.64
detr_resnet_v1_18_bn 33.9 31.6 41.6 88.0 800x800x3 32.42 61.87
efficientdet_lite0 27.3 26.6 175 447 320x320x3 3.56 1.94
efficientdet_lite1 32.3 31.8 120 270 384x384x3 4.73 4
efficientdet_lite2 35.9 34.8 101 209 448x448x3 5.93 6.84
nanodet_repvgg 29.3 28.6 971 971 416x416x3 6.74 11.28
nanodet_repvgg_a12 33.7 32.5 337 337 640x640x3 5.13 28.23
nanodet_repvgg_a1_640 33.3 32.9 304 304 640x640x3 10.79 42.8
ssd_mobilenet_v1⭐ 23.2 22.2 1370 1330 300x300x3 6.79 2.5
ssd_mobilenet_v2 24.2 23.3 588 588 300x300x3 4.46 1.52
tiny_yolov3 14.6 14.3 1338 1338 416x416x3 8.85 5.58
tiny_yolov4 19.2 17.7 1269 1268 416x416x3 6.05 6.92
yolo26m 52.3 50.9 58.9 110 640x640x3 20.4 68.4
yolo26n 40.0 38.8 237 490 640x640x3 2.4 5.5
yolo26s 47.5 46.0 127 264 640x640x3 9.5 20.9
yolov10b⭐ 52.0 51.1 50.2 90.8 640x640x3 20.15 92.09
yolov10n⭐ 38.5 36.9 317 494 640x640x3 2.3 6.8
yolov10s⭐ 45.9 45.1 150 313 640x640x3 7.2 21.7
yolov10x⭐ 53.7 52.1 22.5 39.6 640x640x3 31.72 160.56
yolov11l⭐ 52.8 52.3 41.6 77.7 640x640x3 25.3 87.17
yolov11m⭐ 51.1 50.1 70.9 130 640x640x3 20.1 68.1
yolov11n⭐ 39.0 37.9 308 519 640x640x3 2.6 6.55
yolov11s⭐ 46.3 45.4 142 281 640x640x3 9.4 21.6
yolov11x⭐ 54.1 53.0 28.3 44.3 640x640x3 56.9 195.29
yolov12n 40.5 39.6 68.5 144 640x640x3 2.6 7.5
yolov3 38.4 38.3 43.8 59.5 608x608x3 68.79 158.10
yolov3_416 37.7 37.5 75.9 131 416x416x3 61.92 65.94
yolov3_gluon 37.3 35.8 48.4 65.4 608x608x3 68.79 140.7
yolov3_gluon_416 36.3 34.2 75.8 134 416x416x3 61.92 65.94
yolov4_leaky 48.3 47.2 63.6 111 512x512x3 64.33 91.04
yolov5m⭐ 42.6 41.3 112 196 640x640x3 21.78 52.17
yolov5m6_6.1 50.7 49.4 40.2 57.4 1280x1280x3 35.70 200.04
yolov5m_6.1 44.7 43.4 86.2 130 640x640x3 21.17 48.96
yolov5m_wo_spp⭐ 43.1 41.6 123 216 640x640x3 22.67 52.88
yolov5s⭐ 35.3 34.1 253 383 640x640x3 7.46 17.44
yolov5s_bbox_decoding_only 35.3 34.1 253 379 640x640x3 7.46 17.44
yolov5s_c3tr 37.1 35.8 201 384 640x640x3 10.29 17.02
yolov5s_wo_spp 34.8 33.8 262 402 640x640x3 7.85 17.74
yolov5xs_wo_spp 33.2 32.1 364 635 512x512x3 7.85 11.36
yolov6n⭐ 34.3 32.4 665 665 640x640x3 4.32 11.12
yolov6n_0.2.1 35.2 33.4 694 646 640x640x3 4.33 11.06
yolov6n_0.2.1_nms_core 35.2 34.0 232 232 640x640x3 4.32 11.12
yolov7⭐ 50.6 48.9 54.9 85.7 640x640x3 36.91 104.51
yolov7_tiny 37.1 36.2 274 403 640x640x3 6.22 13.74
yolov7e6 55.4 53.2 16.6 21.8 1280x1280x3 97.20 515.12
yolov7x⭐ 52.4 51.0 35.1 55.2 640x640x3 71.46 189.68
yolov8l⭐ 52.4 51.9 40.0 63.9 640x640x3 43.7 165.3
yolov8m⭐ 49.9 49.2 76.0 147 640x640x3 25.9 78.93
yolov8n⭐ 37.0 36.5 384 507 640x640x3 3.2 8.74
yolov8s⭐ 44.6 44.1 168 303 640x640x3 11.2 28.6
yolov8s_bbox_decoding_only 44.8 44.3 168 303 640x640x3 11.2 28.6
yolov8x⭐ 53.5 52.8 25.6 38.4 640x640x3 68.2 258
yolov9c⭐ 52.6 51.5 54.7 92.3 640x640x3 25.3 102.1
yolox_l_leaky 48.7 46.6 45.0 69.7 640x640x3 54.17 155.3
yolox_s_leaky 38.1 37.3 201 346 640x640x3 8.96 26.74
yolox_s_wide_leaky 42.4 41.0 113 180 640x640x3 20.12 59.46
yolox_tiny 32.6 31.5 403 986 416x416x3 5.05 6.44