OttoYu/Treecondition
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How to use OttoYu/Tree-Condition with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("image-classification", model="OttoYu/Tree-Condition")
pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png") # Load model directly
from transformers import AutoImageProcessor, AutoModelForImageClassification
processor = AutoImageProcessor.from_pretrained("OttoYu/Tree-Condition")
model = AutoModelForImageClassification.from_pretrained("OttoYu/Tree-Condition")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。
You can use the this model for tree condition image classification.