| | --- |
| | tags: |
| | - image-classification |
| | - pytorch |
| | - huggingpics |
| | metrics: |
| | - accuracy |
| |
|
| | model-index: |
| | - name: street-classes |
| | results: |
| | - task: |
| | name: Image Classification |
| | type: image-classification |
| | metrics: |
| | - name: Accuracy |
| | type: accuracy |
| | value: 0.9104477763175964 |
| | --- |
| | |
| | # street-classes |
| |
|
| |
|
| | 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 |
| |
|
| |  |
| |
|
| | #### person |
| |
|
| |  |
| |
|
| | #### truck |
| |
|
| |  |
