jiangzhen

ye

Object Detection

ye Computer Vision Project

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2022-10-19发现roboflow导出的图片旋转但标记不旋转的bug! auto-orient也没用

银耳缺陷数据集

缺陷可由以下情况各种组合 标记起来棘手

  • m :霉
  • l :烂
  • b:黑
  • q:切伤
  • g:根部
  • n:粘附 w , h 小于0.04%算小目标了

e1 (功能上一定要识别出来的,不好标记,就标记了几个)

  • 极易区分的缺陷部分

e-m (AP .95)

  • 白块 (叶片白块化,单片、多片:伴有塌陷)
  • 长毛(白毛、绿毛)
  • 霉变:烂掉的霉变,烂绿
  • 霉变:菇头变霉变,黄绿

e-b

  • 纯粹胡须:一小撮、一片(通常环形分布) (面积不大没事)

e-b-l

  • 胡须加四周异常色:有点烂的颜色 (面积不大没事)

e-l (需要再细分,AP.27)

  • 小面积轻度烂面,发油偏向褐色
  • 大面积轻度烂面,发油面积大

e-l-q

  • 因烂面被切掉的

e-l-n

  • 轻度烂面+粘连污物

e-l-bb

  • 重度烂面(褐色、黑褐色)

e-l-g

  • 根部四周 e-l

e-n (数据太少)

  • 清洗后粘上尘土
  • 碰到烤箱壁后的

err

  • 不顺眼的:颜色不行
  • 其他类别也有被归为此类的

e-s 绳子(样本很少)

e-f (数据太少)

  • 被压扁的

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            ye_dataset,
                            title = { ye Dataset },
                            type = { Open Source Dataset },
                            author = { jiangzhen },
                            howpublished = { \url{ https://universe.roboflow.com/jiangzhen-sn4hu/ye } },
                            url = { https://universe.roboflow.com/jiangzhen-sn4hu/ye },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { nov },
                            note = { visited on 2024-04-22 },
                            }
                        

Connect Your Model With Program Logic

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Source

jiangzhen

Last Updated

6 months ago

Project Type

Object Detection

Subject

ye

Views: 245

Views in previous 30 days: 4

Downloads: 6

Downloads in previous 30 days: 0

License

CC BY 4.0

Classes

e-b e-b-l e-f e-l e-l-b e-l-g e-l-n e-l-q e-m e-n e1 err