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

model-index:
- name: bottle_detection_june
  results:
  - task:
      name: Image Classification
      type: image-classification
    metrics:
      - name: Accuracy
        type: accuracy
        value: 0.84375
---

# bottle_detection_june


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


#### Dewar's_12_Years

![Dewar's_12_Years](images/Dewar's_12_Years.jpg)

#### Dewar's_white_lable

![Dewar's_white_lable](images/Dewar's_white_lable.png)

#### bacardi_black

![bacardi_black](images/bacardi_black.jpg)

#### bacardi_carta_blanca

![bacardi_carta_blanca](images/bacardi_carta_blanca.jpg)

#### bacardi_carta_negra

![bacardi_carta_negra](images/bacardi_carta_negra.jpg)

#### bacardi_carta_oro

![bacardi_carta_oro](images/bacardi_carta_oro.webp)

#### bombay_sapphire

![bombay_sapphire](images/bombay_sapphire.jpg)

#### coka_cola

![coka_cola](images/coka_cola.jpg)

#### martini

![martini](images/martini.jpg)