---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy

model-index:
- name: car_damage_classifier
  results:
  - task:
      name: Image Classification
      type: image-classification
    metrics:
      - name: Accuracy
        type: accuracy
        value: 0.8965517282485962
---

# car_damage_classifier


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


#### car with cracked front or rear windscreen

![car with cracked front or rear windscreen](images/car_with_cracked_front_or_rear_windscreen.jpg)

#### car with large dent on door

![car with large dent on door](images/car_with_large_dent_on_door.jpg)

#### car with missing headlamp

![car with missing headlamp](images/car_with_missing_headlamp.jpg)

#### car with small dent on door

![car with small dent on door](images/car_with_small_dent_on_door.jpg)