metadata
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: cv_canal_pollution_level
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.9027777910232544
cv_canal_pollution_level
使用HuggingPics微调生成
任务：河道污染等级分类（无污染、轻度污染、中度污染、重度污染）
使用方法：
from transformers import pipeline
classifier = pipeline('image-classification', model='Bazzar/cv_canal_pollution_level')
print(classifier('http://图片地址'))
Autogenerated by HuggingPics🤗🖼️
Create your own image classifier for anything by running the demo on Google Colab.
Report any issues with the demo at the github repo.
Example Images
no pollution
light pollution
moderate pollution
heavy pollution
