Visual datasets for artificial intelligence agents
88 Citations•2018•
Erwin Hilton
journal unavailable
This thesis introduces procedurally generated new data to test VQA agents and other visual Al models on using Spatial IQ Generative Dataset (SIQGD) and 3D models along with a Blender3D extension.
Abstract
In this thesis, I designed and implemented two visual dataset generation tool frameworks. With these tools, I introduce procedurally generated new data to test VQA agents and other visual Al models on. The first tool is Spatial IQ Generative Dataset (SIQGD). This tool generates images based on the Raven's Progressive Matrices spatial IQ examination metric. The second tool is a collection of 3D models along with a Blender3D extension that renders images of the models from multiple viewpoints along with their depth maps.