A high-definition (2560x 1440) raw image dataset of biodegradable fabrics namely, Abaca, Hessian, Silk, Linen, Cotton and Wool captured in varied focal lengths creating a Near, Mid and Far imaging configuration. The difference between imaging configurations can be observed below.


The images are manually collected through the developed image acquisition device that includes a 4MP USB Camera with an attached 5 to 50mm Varifocal Lens and an LED strip for a consistent and controlled lighting inside the experimental imaging setup. If you'd like to learn more on the experimental imaging setup, please read my conference paper here.

If you wish to use this dataset in your work, please cite the following:

J. G. Gutierrez, J. F. Villaverde, J. G. Gutierrez and J. F. Villaverde, "Classification and Identification of Natural Biodegradable Fabrics using Convolutional Neural Network," 2025 9th International Conference on Electrical, Telecommunication and Computer Engineering (ELTICOM), Medan, Indonesia, 2025, pp. 168-173, doi: 10.1109/ELTICOM67568.2025.11335994.2