Working notes from the Scandinavian Institute for Computational Vandalism

Tag Archives: training data

Native contours

In this experiment [Hochberg & Brooks, 1962], a human baby was raised until the age of 19 months under the constant supervision of his parents who avoided exposing the child to line-drawings or two-dimensional pictures of any kind. Although the baby accidentally had opportunities to glance at some pictures on a few occasions, at no […]

Detecting the Manchurian Candidate

In the Manchurian Candidate, it is revealed that the Communists have been using the soldier Shaw as a sleeper agent, a guiltless assassin subconsciously activated by seeing the “Queen of Diamonds” playing card while playing solitaire. Provoked by the appearance of the card, he obeys orders which he then forgets. Isn’t an image just like […]

Green Mamba

Tensorflow, an open source library for Machine Learning developed by Google, comes with a demo program that labels images. The output of the program contains the labels (or class names) and their scores. The score represents the probability of the image to belong to a certain class. green mamba (score = 0.43074) vine snake (score […]

250 000 labels

This document, edited by Antonio Torralba, contains the notes written by Adela Barriuso describing her experience while using the LabelMe annotation tool. Mrs Barriuso has no training in computer vision. In 2007 she started to use LabelMe to systematically annotate the SUN database. The goal was to build a large database of images with all […]

Capta

Etymologically the word data is derived from the Latin dare, meaning ‘to give’. In this sense, data are raw elements that can be abstracted from (given by) phenomena – measured and recorded in various ways. However, in general use, data refer to those elements that are taken; extracted through observations, computations, experiments, and record keeping […]

The Annotator

A report from one of the Cqrrelations working groups: From the start we were interested in how a Gold Standard is established, a paradoxical situation where human input is both considered a source of truth, and made invisible. Annotation here means the manual work of ‘scoring’ large amounts of data that can than be used […]