1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.LG2020★ 1 cited
Parallel-beam X-ray CT datasets of apples with internal defects and label balancing for machine learning
Sophia Bethany Coban, Vladyslav Andriiashen, Poulami Somanya Ganguly +2
We present three parallel-beam tomographic datasets of 94 apples with internal defects along with defect label files. The datasets are prepared for development and testing of data-…
eess.IV2019
A Cone-Beam X-Ray CT Data Collection designed for Machine Learning
Henri Der Sarkissian, Felix Lucka, Maureen van Eijnatten +3
Unlike previous works, this open data collection consists of X-ray cone-beam (CB) computed tomography (CT) datasets specifically designed for machine learning applications and high…