CVOct 16, 2014

The HAWKwood Database

arXiv:1410.4393v25 citations
Originality Synthesis-oriented
AI Analysis

This provides a new benchmark for researchers and practitioners in forestry and computer vision to evaluate detection and surveying algorithms, but it is incremental as it focuses on creating a dataset rather than advancing methods.

The authors introduced the HAWKwood Database, a collection of 7655 images across 354 datasets for wood pile detection and surveying, providing ground truth and forestry measurements to benchmark algorithms.

We present a database consisting of wood pile images, which can be used as a benchmark to evaluate the performance of wood pile detection and surveying algorithms. We distinguish six database cate- gories which can be used for different types of algorithms. Images of real and synthetic scenes are provided, which consist of 7655 images divided into 354 data sets. Depending on the category the data sets either include ground truth data or forestry specific measurements with which algorithms may be compared.

Foundations

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