Wednesday, July 31, 2019 - 17:00
The Photographers' Gallery is looking to award three £1000 commissions for the Gallery Media Wall that interrogate and bring new meaning to image datasets. Data/Set/Match is a series of events, workshops and artists’ commissions which explore the significance of scientific image datasets.  

Computer scientists are highly influential yet often unacknowledged by creators and collectors of photographic images in the 21st Century. Technologists working in the fields of machine vision and Artificial Intelligence rely on the production and annotation of massive collections of digital images to train machines to ‘see’ and understand the world. These image datasets are typically generated by taking online images, (e.g. Labeled Faces in The Wild), or shot by computer scientists themselves (e.g. ATT Faces).

One of the most significant datasets today is ImageNet(2009), a visual database of over 14 million images created by a team of computer scientists led by Dr Fei-Fei Li at Stanford University. A hugely expensive and ambitious undertaking, ImageNet presents an encyclopedic image of the world, where every concept has been mapped against descriptive images painstakingly annotated and collected off the internet. ImageNet was the result of Dr Li’s hypothesis that computer vision would ultimately rely on the quality and scale of the training data - as opposed to the optimisation of algorithms. Its creation informed the explosion of work in the field of AI and machine learning utilising neural networks.

Over the course of 12 months, Data/Set/Match aims to draw attention to these datasets and explore their creation, influence and uses. At the same time, the programme will connect the image dataset to historical photographic discourses of the archive, truth and power.

The three £1000 commissions for the Media Wall might address questions such as: What do these image collections look like and how can they be comprehended? How are they generated and created? What image of the world do they promote and what do they fail to represent? How could their use be re-imagined? 

These artistic commissions could fall into one of three categories:

  1. The creation of a new or speculative photographic dataset, which can be released to the public and shown on the Media Wall.
  2. The creation of a display which re-interprets an existing contemporary or historical image dataset (beyond data visualisation).
  3. The adaptation of an existing work which responds to or utilises an existing image dataset.

Terms and Conditions
Read the Open Call and the Terms and Conditions
View the Media Wall Tech Specs

Deadline: Wednesday 31 July, 5pm.

Some reference and example datasets include:

Scientific Datasets
Images in the Wild Dataset
Caylee Pattern dataset
Epic Kitchens
Diversity in Faces
Fruits 360
This is the Problem, the Solution, the Past and the Future
The USC-SIPI Image Database
Caltech Camera Traps
Computer Vision Test Images

Abnormality Detection in Images

Other resources
Kaggle’s Dataset search engine
Wikipedia Article of List of Datasets for machine learning

For full details and to view the listing, click here.

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