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---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: vehicle_defects_2
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.7204301357269287
---
# vehicle_defects_2
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
#### broken headlight
![broken headlight](images/broken_headlight.jpg)
#### damaged oil filter
![damaged oil filter](images/damaged_oil_filter.jpg)
#### damaged windscreen
![damaged windscreen](images/damaged_windscreen.jpg)
#### deflated tire
![deflated tire](images/deflated_tire.jpg)
#### worn out tire tread
![worn out tire tread](images/worn_out_tire_tread.jpg) |