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---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: product-classification
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.4444444477558136
---
# product-classification
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
#### A person wearing Green round neck shirt with red and black strips.
![A person wearing Green round neck shirt with red and black strips. ](images/A_person_wearing_Green_round_neck_shirt_with_red_and_black_strips._.jpg)
#### A person wearing a hat of black color and something written on it.
![A person wearing a hat of black color and something written on it.](images/A_person_wearing_a_hat_of_black_color_and_something_written_on_it..jpg)
#### A person wearing black pant with rounded bottom and long length.
![A person wearing black pant with rounded bottom and long length.](images/A_person_wearing_black_pant_with_rounded_bottom_and_long_length..jpg)
#### A person wearing black round neck T-shirt of cotton material.
![A person wearing black round neck T-shirt of cotton material. ](images/A_person_wearing_black_round_neck_T-shirt_of_cotton_material._.jpg)
#### A person wearing blue jeans of denim type.
![A person wearing blue jeans of denim type.](images/A_person_wearing_blue_jeans_of_denim_type..jpg)