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yolov8检测类别

时间: 2024-12-27 12:19:10 浏览: 9

### YOLOv8 支持的检测目标类别 YOLOv8 默认支持的标准 COCO 数据集中的 80 类常见物体检测[^1]。这些类别涵盖了日常生活中的大多数物品，具体列表如下： 1. person 2. bicycle 3. car 4. motorcycle 5. airplane 6. bus 7. train 8. truck 9. boat 10. traffic light 11. fire hydrant 12. stop sign 13. parking meter 14. bench 15. bird 16. cat 17. dog 18. horse 19. sheep 20. cow 21. elephant 22. bear 23. zebra 24. giraffe 25. backpack 26. umbrella 27. handbag 28. tie 29. suitcase 30. frisbee 31. skis 32. snowboard 33. sports ball 34. kite 35. baseball bat 36. baseball glove 37. skateboard 38. surfboard 39. tennis racket 40. bottle 41. wine glass 42. cup 43. fork 44. knife 45. spoon 46. bowl 47. banana 48. apple 49. sandwich 50. orange 51. broccoli 52. carrot 53. hot dog 54. pizza 55. donut 56. cake 57. chair 58. couch 59. potted plant 60. bed 61. dining table 62. toilet 63. tv 64. laptop 65. mouse 66. remote 67. keyboard 68. cell phone 69. microwave 70. oven 71. toaster 72. sink 73. refrigerator 74. book 75. clock 76. vase 77. scissors 78. teddy bear 79. hair drier 80. toothbrush 对于自定义数据集或特定应用场景下的目标检测需求，可以通过重新训练模型来扩展或更改可识别的对象种类。这通常涉及准备新的标注数据并调整配置文件以适应新类别的数量。 ```python from ultralytics import YOLO model = YOLO('yolov8n.yaml') # 使用预定义的小型网络结构加载模型 ```

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