README.md

metadata

tags:
  - vision
  - image-classification
datasets:
  - OttoYu/Treecondition
widget:
  - src: https://bit.ly/3KbaDNI
    example_title: Canker Diseases
  - src: https://bit.ly/40FN317
    example_title: Bacterial canker
  - src: https://bit.ly/3LYSGn6
    example_title: Citrus canker
  - src: https://www.elitetreecare.com/wp-content/uploads/2016/06/black-knot.jpg
    example_title: Black knot
  - src: https://gtr-arbor.com.hk/wp-content/uploads/2015/01/fungi2-5.jpg
    example_title: Fungi
  - src: https://gtr-arbor.com.hk/wp-content/uploads/2011/05/insectA2-2.jpg
    example_title: Termite
co2_eq_emissions:
  emissions: 1.3038362907488008

🌳 Tree Condition Classification 樹況分類 (bilingual)

Model Description

This online application covers 22 most typical tree disease over 290+ images. If you find any trees that has hidden injures, you can classifies with our model and report the tree condition via this form (https://rb.gy/c1sfja). 此在線程式涵蓋22種官方部門樹況分類的標準，超過290張圖像。如果您發現任何樹木有隱傷，您可以使用我們的模型進行分類並通過此表格報告樹木狀況。

• Developed by: Yu Kai Him Otto
• Shared via: Huggingface.co
• Model type: Opensource

Uses

You can use the this model for tree condition image classification.

Training Details

Training Data

• Loss: 0.355
• Accuracy: 0.852
• Macro F1: 0.787
• Micro F1: 0.852
• Weighted F1: 0.825
• Macro Precision: 0.808
• Micro Precision: 0.852
• Weighted Precision: 0.854
• Macro Recall: 0.811
• Micro Recall: 0.852
• Weighted Recall: 0.852