This dataset comprises Terahertz (THz) images collected to support the research presented in the IEEE Access paper titled Diagnosing Grass Seed Infestation: Convolutional Neural Network Based Terahertz Imaging. The dataset is intended for the detection and classification of grass seeds embedded in biological samples, specifically ham, covered with varying thicknesses of wool. The images were captured at different frequencies within the THz spectrum, providing valuable data for the development of deep-learning models for seed detection.

Dataset Files

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[1] Shaghik Atakaramians, Deepak Mishra, Qigejian Wang, Amus Goay, Ewa Goldys, "Terahertz Images for Grass Seed Detection", IEEE Dataport, 2025. [Online]. Available: http://dx.doi.org/10.21227/4hs2-rn27. Accessed: Mar. 22, 2025.
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doi = {10.21227/4hs2-rn27},
url = {http://dx.doi.org/10.21227/4hs2-rn27},
author = {Shaghik Atakaramians; Deepak Mishra; Qigejian Wang; Amus Goay; Ewa Goldys },
publisher = {IEEE Dataport},
title = {Terahertz Images for Grass Seed Detection},
year = {2025} }
TY - DATA
T1 - Terahertz Images for Grass Seed Detection
AU - Shaghik Atakaramians; Deepak Mishra; Qigejian Wang; Amus Goay; Ewa Goldys
PY - 2025
PB - IEEE Dataport
UR - 10.21227/4hs2-rn27
ER -
Shaghik Atakaramians, Deepak Mishra, Qigejian Wang, Amus Goay, Ewa Goldys. (2025). Terahertz Images for Grass Seed Detection. IEEE Dataport. http://dx.doi.org/10.21227/4hs2-rn27
Shaghik Atakaramians, Deepak Mishra, Qigejian Wang, Amus Goay, Ewa Goldys, 2025. Terahertz Images for Grass Seed Detection. Available at: http://dx.doi.org/10.21227/4hs2-rn27.
Shaghik Atakaramians, Deepak Mishra, Qigejian Wang, Amus Goay, Ewa Goldys. (2025). "Terahertz Images for Grass Seed Detection." Web.
1. Shaghik Atakaramians, Deepak Mishra, Qigejian Wang, Amus Goay, Ewa Goldys. Terahertz Images for Grass Seed Detection [Internet]. IEEE Dataport; 2025. Available from : http://dx.doi.org/10.21227/4hs2-rn27
Shaghik Atakaramians, Deepak Mishra, Qigejian Wang, Amus Goay, Ewa Goldys. "Terahertz Images for Grass Seed Detection." doi: 10.21227/4hs2-rn27