IRShips
| dc.contributor.author | Westlake, Samuel | |
| dc.date.accessioned | 2024-06-09T16:10:08Z | |
| dc.date.available | 2024-06-09T16:10:08Z | |
| dc.date.issued | 2020-11-13 16:07 | |
| dc.description.abstract | Welcome to the IRShips dataset of synthetically generated images for the development of IR anti-ship ATR algorithms. This dataset contains 972,000 images of 10 different ships, each with 9 different thermal appearances, taken from different ranges, bearings and elevations. Images are labelled with: ship class, ship type, bounding box coordinates, and much more metadata. See the README for more info. | |
| dc.identifier.citation | Westlake, Samuel (2020). IRShips. Cranfield Online Research Data (CORD). Dataset. https://doi.org/10.17862/cranfield.rd.12800324 | |
| dc.identifier.doi | 10.17862/cranfield.rd.12800324 | |
| dc.identifier.uri | https://dspace.lib.cranfield.ac.uk/handle/1826/22268 | |
| dc.publisher | Cranfield University | |
| dc.relation.isreferencedby | https://doi.org/10.1117/12.2573774' | |
| dc.rights | CC BY-NC-SA 4.0 | |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc-sa/4.0/ | |
| dc.subject | 'Infrared' | |
| dc.subject | 'Automatic Target Recognition' | |
| dc.subject | 'Missile Seekers' | |
| dc.subject | 'Deep Learning' | |
| dc.subject | 'Dataset' | |
| dc.subject | 'Ships' | |
| dc.subject | 'Target Detection' | |
| dc.subject | 'Artificial Intelligence and Image Processing' | |
| dc.title | IRShips | |
| dc.type | Dataset |
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