The HAWKwood Database

10/16/2014
by   Christopher Herbon, et al.
0

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.

READ FULL TEXT

page 3

page 4

page 5

page 6

page 8

research
02/20/2023

TBPos: Dataset for Large-Scale Precision Visual Localization

Image based localization is a classical computer vision challenge, with ...
research
09/17/2018

Bridging the Simulated-to-Real Gap: Benchmarking Super-Resolution on Real Data

Capturing ground truth data to benchmark super-resolution (SR) is challe...
research
01/03/2023

Notes on Correspondence Analysis of Power Transformed Data Sets

We prospect for a clear simple picture on CA of power transformed or the...
research
12/09/2019

Estimation of Muscle Fascicle Orientation in Ultrasonic Images

We compare four different algorithms for automatically estimating the mu...
research
09/08/2017

Benchmarking Super-Resolution Algorithms on Real Data

Over the past decades, various super-resolution (SR) techniques have bee...
research
11/22/2020

Registration of serial sections: An evaluation method based on distortions of the ground truths

Registration of histological serial sections is a challenging task. Seri...
research
03/09/2021

gambit – An Open Source Name Disambiguation Tool for Version Control Systems

Name disambiguation is a complex but highly relevant challenge whenever ...

Please sign up or login with your details

Forgot password? Click here to reset