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---
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) |