File size: 1,276 Bytes
3ebcd71 d757342 3ebcd71 d757342 3ebcd71 e67c0de 3ebcd71 d757342 3ebcd71 b3161ec |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 |
---
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
#### light pollution
#### moderate pollution
#### heavy pollution
|