OpenVINO export (fp32, imgsz=640)
Browse files- openvino/metadata.yaml +102 -0
openvino/metadata.yaml
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| 1 |
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description: Ultralytics YOLO11s model trained on /usr/src/ultralytics/ultralytics/cfg/datasets/coco.yaml
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author: Ultralytics
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date: '2026-02-05T09:57:04.304347'
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version: 8.4.11
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license: AGPL-3.0 License (https://ultralytics.com/license)
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docs: https://docs.ultralytics.com
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stride: 32
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task: detect
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batch: 1
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imgsz:
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- 640
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- 640
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names:
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0: person
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1: bicycle
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2: car
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3: motorcycle
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4: airplane
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5: bus
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6: train
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7: truck
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8: boat
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9: traffic light
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10: fire hydrant
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11: stop sign
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12: parking meter
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13: bench
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14: bird
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15: cat
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16: dog
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17: horse
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18: sheep
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19: cow
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20: elephant
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21: bear
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22: zebra
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23: giraffe
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24: backpack
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25: umbrella
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26: handbag
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27: tie
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28: suitcase
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29: frisbee
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30: skis
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31: snowboard
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32: sports ball
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33: kite
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34: baseball bat
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35: baseball glove
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36: skateboard
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37: surfboard
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38: tennis racket
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39: bottle
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40: wine glass
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41: cup
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42: fork
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43: knife
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44: spoon
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45: bowl
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46: banana
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47: apple
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48: sandwich
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49: orange
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50: broccoli
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51: carrot
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52: hot dog
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53: pizza
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54: donut
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55: cake
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56: chair
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57: couch
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58: potted plant
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59: bed
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60: dining table
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61: toilet
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62: tv
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63: laptop
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64: mouse
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65: remote
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66: keyboard
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67: cell phone
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68: microwave
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69: oven
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70: toaster
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71: sink
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72: refrigerator
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73: book
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74: clock
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75: vase
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76: scissors
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77: teddy bear
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78: hair drier
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79: toothbrush
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args:
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batch: 1
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fraction: 1.0
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half: false
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int8: false
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dynamic: false
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nms: false
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channels: 3
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end2end: false
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