# open_images

**Repository Path**: yinguobing/open_images

## Basic Information

- **Project Name**: open_images
- **Description**: Extract bounding boxes from Open Images dataset.
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2022-05-02
- **Last Updated**: 2022-05-02

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# open_images
Extract bounding boxes from Open Images dataset v4/v6.

![sample](docs/sample.jpg)

## Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

### Prerequisites

Required:

![notebook](https://img.shields.io/badge/notebook-v6.1-brightgreen)
![matplotlib](https://img.shields.io/badge/matplotlib-v3.3-brightgreen)
![Numpy](https://img.shields.io/badge/Numpy-v1.19-brightgreen)
![tqdm](https://img.shields.io/badge/tqdm-v4.55-brightgreen)

Optional:

![TensorFlow](https://img.shields.io/badge/TensorFlow-v2.4-brightgreen)

### Installing

#### Get the notebook.

```shell
# From your favorite development directory
git clone https://github.com/yinguobing/open_images.git
```

#### Download the dataset.
Please follow the official instructions:
https://storage.googleapis.com/openimages/web/download.html

It's better if the files are organized like this:

```bash
open_images
└── v6
    ├── annotation
    ├── test
    ├── train
    ├── validation
```

## Extraction

For dataset v6 just run the notebook.

```bash
jupyter-notebook
```

For dataset v4 please checkout branch `v4`, then run the notebook.


## Authors
Yin Guobing (尹国冰) - yinguobing

![wechat](docs/wechat.png)

## License
![GitHub](https://img.shields.io/github/license/yinguobing/open_images)