Singapore Maritime Dataset(SMD) We have created Singapore Maritime Dataset, using Canon 70D cameras around Singapore waters. All the videos are acquired in high definition (1080X1920 pixels). We divide the dataset into parts, on-shore videos and on-board videos, which are acquired by camera placed on-shore on fixed platform and camera placed on-board a moving vessel, respectively. The videos are acquired at various locations and routes and thus do not necessarily capture the same scene. The third part is Near Infra red (NIR) videos which is also captured using another Canon 70D camera with hot mirror removed and Mid-Opt BP800 Near-IR Bandpass filter. Acknowledgement- Dataset has been captured by Dilip K. Prasad and annotated by student volunteers. Dataset has been captured on various environmental conditions like before sunrise (40 min before sunrise), sunrise, mid day, afternoon, evening, after sunset (2hrs after sunset), Haze and Rain from July 2015 to May 2016. Optical lens used for all the 3 sub-dataset - Canon EF 70-300mm f/4-5.6 IS USM D. K. Prasad, D. Rajan, L. Rachmawati, E. Rajabaly, and C. Quek, "Video Processing from Electro-optical Sensors for Object Detection and Tracking in Maritime Environment: A Survey," IEEE Transactions on Intelligent Transportation Systems (IEEE), 18 (8), 1993 - 2016, 2017. (preprint PDF) Other papers on this dataset from our group
Singapore Maritime Dataset (81 videos) Visible On-Shore dataset (link)(size- 3 GB) (40 videos, ground truth for horizon, Object detection and Tracking) Visible On-Board dataset (link) (size- 768 MB) (11 videos, ground truth for horizon, Object detection, and Tracking) Near-infra Red On-Shore dataset (link) (size- 1.51 GB) (30 videos, ground truth for horizon, Object detection, and Tracking) Sample Visible on-Shore dataset snapshot Sample Visible on-board dataset snapshot Sample NIR on-Shore dataset snapshot Other maritime dataset A. Horizon detection Ground Truth and videos for Mar-DCT dataset - Link Please cite reference below for Mar-DCT dataset D. D. Bloisi, L. Iocchi, A. Pennisi, and L. Tombolini, “ARGOS-Venice boat classification,” in “Advanced Video and Signal Based Surveillance (AVSS), 2015 12th IEEE International Conference on,” (2015), pp. 1–6. B. Horizon detection Ground Truth and videos for Buoy dataset - Link Please cite reference below for Buoy dataset S. Fefilatyev, V. Smarodzinava, L. O. Hall, and D. B. Goldgof, “Horizon detection using machine learning techniques,” in “International Conference on Machine Learning and Applications,” (2006), pp. 17–21. Ribeiro, Ricardo, Gonçalo Cruz, Jorge Matos, and Alexandre Bernardino. "A Dataset for Airborne Maritime Surveillance Environments." IEEE Transactions on Circuits and Systems for Video Technology (2017).(link) L. Patino, T. Cane, A. Vallee, and J. Ferryman, “Pets 2016: Dataset and challenge,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016, pp. 1–8. (link) |