Special datasets for training learning algorithms

Raghuveer M. Rao; Andrew P. Ladas

doi:10.1117/12.2560357

19 May 2020 Special datasets for training learning algorithms

Raghuveer M. Rao, Andrew P. Ladas

Proceedings Volume 11413, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications II; 114130B (2020) https://doi.org/10.1117/12.2560357
Event: SPIE Defense + Commercial Sensing, 2020, Online Only

Abstract

Successful performance of machine learning approaches for object classification requires training with data sets that are good representations of actual field data. Most open source image databases, while large in size, are not representative of the type of scenes encountered by Army ground missions. The CCDC Army Research Laboratory hosts datasets, some collected recently, and some a few years ago that focus on Army scenarios and are thus an appropriate source of training data for defense applications. This paper presents examples of several of these datasets along with conditions of their availability to external research collaborators.

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Citation Download Citation

Raghuveer M. Rao and Andrew P. Ladas "Special datasets for training learning algorithms", Proc. SPIE 11413, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications II, 114130B (19 May 2020); https://doi.org/10.1117/12.2560357

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