---
model-index:
- name: adult-content-classifier-image
  results: []
pipeline_tag: image-classification
#widget:
#  - text: "https://img.shopping.friday.tw/images/product/265/7951356/7951356_3_1.webp?172830"
#    src: "https://img.shopping.friday.tw/images/product/265/7951356/7951356_3_1.webp?172830"
#    example_title: "regular_一般商品圖片"
#  - text: "https://img.shopping.friday.tw/images/product/259/7782883/7782883_3_1.webp?153546"
#    src: "https://img.shopping.friday.tw/images/product/259/7782883/7782883_3_1.webp?153546"
#    example_title: "adult_成人商品圖片"
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# adult-content-identify-image

Determine whether online sales products are adult content. Input: image content, Output results: 0 Unknown, 1 Adult Content, 2 General Merchandise.

判斷網路銷售商品是否屬於成人內容。輸入圖片內容，輸出結果: 0 未知, 1 成人內容, 2 一般商品。

# use transformers pipeline
```python
from transformers import pipeline
pipe = pipeline("image-classification", model="jiechau/adult-content-classifier")
q = 'https://img.shopping.friday.tw/images/product/265/7951356/7951356_3_1.webp?172830' # regular
q = 'https://img.shopping.friday.tw/images/product/259/7782883/7782883_3_1.webp?153546' # adult
result = pipe(q)
print(result)
# [{'label': 'adult_成人商品', 'score': 0.7516837120056152}, {'label': 'regular_一般商品', 'score': 0.2475457787513733}, {'label': 'unknown', 'score': 0.0007705678581260145}]
```