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---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: age_classification_v2
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.6951456069946289
---
# age_classification_v2
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
#### 0-8

#### 18-25

#### 26-35

#### 36-45

#### 46-55

#### 56-65

#### 65+

#### 8-17
 |