README.md
| 1 | --- |
| 2 | tags: |
| 3 | - image-classification |
| 4 | - pytorch |
| 5 | - huggingpics |
| 6 | metrics: |
| 7 | - accuracy |
| 8 | |
| 9 | model-index: |
| 10 | - name: gender-classification |
| 11 | results: |
| 12 | - task: |
| 13 | name: Image Classification |
| 14 | type: image-classification |
| 15 | metrics: |
| 16 | - name: Accuracy |
| 17 | type: accuracy |
| 18 | value: 0.9244444370269775 |
| 19 | --- |
| 20 | |
| 21 | # gender-classification |
| 22 | |
| 23 | |
| 24 | Autogenerated by HuggingPics🤗🖼️ |
| 25 | |
| 26 | 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). |
| 27 | |
| 28 | Report any issues with the demo at the [github repo](https://github.com/nateraw/huggingpics). |
| 29 | |
| 30 | |
| 31 | ## Example Images |
| 32 | |
| 33 | |
| 34 | #### female |
| 35 | |
| 36 |  |
| 37 | |
| 38 | #### male |
| 39 | |
| 40 |  |