---
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
datasets:
- chittaranjankhatua/car_damage_pub
---

# 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)