GSLW - Greek Sign Language in the Wild Dataset

<p>GSLW: The dataset has been recorded under various background and lighting variations and with different smartphones. The camera position and orientation are gently varied among subsequent recordings to increase video diversity. <strong>15 cases</strong> of hearing-impaired people dealing with public services have been recorded. The resulting test dataset has <strong>1,736 videos</strong> that were annotated both at individual gloss and sentence level.<br> <br> Instructions:<br> <br> <strong><em>&nbsp; &nbsp; GSLW.csv</em></strong> file has the paths, gloss and sentence annotations of the videos.</p> <p><strong><em>&nbsp; &nbsp; load_gslw.py</em></strong> has a python function to load the GSLW.csv file for training or inference.<br> <br> Citation:&nbsp;<br> &nbsp; &nbsp; If you use our dataset please cite our work :</p> <pre>@article{gsl, author={N. M. {Adaloglou} and T. {Chatzis} and I. {Papastratis} and A. {Stergioulas} and G. T. {Papadopoulos} and V. {Zacharopoulou} and G. {Xydopoulos} and K. {Antzakas} and D. {Papazachariou} and P. n. {Daras}}, journal={IEEE Transactions on Multimedia}, title={A Comprehensive Study on Deep Learning-based Methods for Sign Language Recognition}, year={2021}, volume={}, number={}, pages={1-1}, doi={10.1109/TMM.2021.3070438}}</pre>