Evaluation Of Scene-Analysis Algorithms

Citation

Laws, K. I. (1984). Evaluation of Scene-analysis Algorithms. SRI INTERNATIONAL MENLO PARK CA ARTIFICIAL INTELLIGENCE CENTER.

Abstract

A software evaluation methodology has been developed at SRI International for evaluating contributions to the ARPA/DMA Image Understanding Testbed. This paper describes the criteria that have shaped the evaluation methodology. Diverse examples of evaluation results are presented for the GHOUGH object detection system from the University of Rochester, the PHOENIX segmentation system from Carnegie-Mellon University (CMU), and the RELAX relaxation package from the University of Maryland.

↓ Download

Read more from SRI

  • An arid, rural Nevada landscape

    Can AI help us find valuable minerals?

    SRI’s machine learning-based geospatial analytics platform, already adopted by the USGS, is poised to make waves in the mining industry.

  • Two students in a computer lab

    Building a lab-to-market pipeline for education

    The SRI-led LEARN Network demonstrates how we can get the best evidence-based educational programs to classrooms and students.

  • Code reflected in a man's eyeglasses

    LLM risks from A to Z

    A new paper from SRI and Brazil’s Instituto Eldorado delivers a comprehensive update on the security risks to large language models.