---
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：
```python
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](https://colab.research.google.com/github/nateraw/huggingpics/blob/main/HuggingPics.ipynb).

Report any issues with the demo at the [github repo](https://github.com/nateraw/huggingpics).


## Example Images


#### no pollution

![no pollution](images/no_pollution.jpg)

#### light pollution

![light pollution](images/light_pollution.jpg)

#### moderate pollution

![moderate pollution](images/moderate_pollution.jpg)

#### heavy pollution

![heavy pollution](images/heavy_pollution.jpg)