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https://github.com/victordibia/cocoafrica

A Curation Tool and Dataset of Common Objects in the Context of Africa
https://github.com/victordibia/cocoafrica

artificial artificial-intelligence datacollection dataset

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A Curation Tool and Dataset of Common Objects in the Context of Africa

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# COCO-Africa: A Curation Tool and Dataset of Common Objects in the Context of Africa
> Project is still in development **


The Coco Africa project is geared towards creating an easy to use data collection tool to support the
curation of interesting datasets (current focus on under-represented objects and contexts in Africa).

## The Data Collection Tool

This repo mainly contains code for the data collection interface(s) being used to support the curation of the COCO-Africa dataset. The current web interface is built with the following main features.
- Perform image searches under a given keyword, selectively save a subset of all results. Searching using the flickr interface is currently supported.
- Support annotation of saved images.

## The Datasets

- COCO Africa Masks (To be released soon): A dataset of African masks to foster experiments in the intersection of African Art and AI.
Early results training an unconditional GAN (DCGAN) on a curated dataset of African masks (10k) are shown below.

## Trained Models
As the project progresses, trained models will be made available for tasks trained on aspects of the COCO-Africa dataset.

## Setup

Add your flickr and google client app credentials in the `utils/credentials_default.py` file and then rename it to `credentials.py`

```shell
cd utils
cp credentials_default.py credentials.py #rename file
```

## Running

```
python webserver.py
```

## Citing this tutorial

If you'd like to cite this work, use the below.

Victor Dibia, COCO-AFRICA : A Curation Tool and Dataset of Common Objects in the Context of Africa (2018), GitHub repository, https://github.com/victordibia/coco-africa
```bib
@misc{CocoAfricaDibia2018,
author = {Victor, Dibia},
title = {COCO-AFRICA : A Curation Tool and Dataset of Common Objects in the Context of Africa},
year = {2018},
publisher = {GitHub},
journal = {2018 Conference on Neural Information Processing, 2nd Black in AI Workshop},
howpublished = {\url{https://github.com/victordibia/coco-africa}}
}