victordibia/cocoafrica

A Curation Tool and Dataset of Common Objects in the Context of Africa # 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, github.com ```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{github.com …