All models were compiled using Hailo Dataflow Compiler v2.18.0.
| 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. |
| Network Name | float mAP-segmentation | Hardware mAP-segmentation | FPS (Batch Size=1) | FPS (Batch Size=8) | Links | Input Resolution (HxWxC) | Params (M) | OPS (G) |
|---|---|---|---|---|---|---|---|---|
| yolact_regnetx_1.6gf | 27.6 | 27.2 | 40.9 | 63.1 | 512x512x3 | 30.09 | 125.34 | |
| yolact_regnetx_800mf | 25.6 | 25.4 | 41.3 | 65.3 | 512x512x3 | 28.3 | 116.75 | |
| yolov5l_seg⭐ | 39.8 | 39.3 | 27.0 | 41.3 | 640x640x3 | 47.89 | 147.88 | |
| yolov5m_seg⭐ | 37.1 | 36.5 | 53.0 | 83.6 | 640x640x3 | 32.60 | 70.94 | |
| yolov5n_seg⭐ | 23.3 | 23.0 | 145 | 220 | 640x640x3 | 1.99 | 7.1 | |
| yolov5s_seg⭐ | 31.6 | 30.7 | 102 | 160 | 640x640x3 | 7.61 | 26.42 | |
| yolov8m_seg⭐ | 40.6 | 40.2 | 42.0 | 69.8 | 640x640x3 | 27.3 | 110.2 | |
| yolov8n_seg⭐ | 30.3 | 29.6 | 168 | 342 | 640x640x3 | 3.4 | 12.04 | |
| yolov8s_seg⭐ | 36.6 | 36.3 | 87.8 | 159 | 640x640x3 | 11.8 | 42.6 |