Index Catalog // Research Data

Start Over Subject Deep learning

Data from: Geo-SegNet: A contrastive learning enhanced U-Net for geomaterial segmentation

Data Citation:

Tian, Q., Goodhue, S., Xiong, H., & Dalton, L. E. (2024). Data from: Geo-SegNet: A contrastive learning enhanced U-Net for geomaterial segmentation. Duke Research Data Repository. https://doi.org/10.7924/r4rf5zz3v
Data from: Deep learning for accelerated all-dielectric metasurface design

Data Citation:

Nadell, C. C., Huang, B., Malof, J. M., & Padilla, W. J. (2024). Data from: Deep learning for accelerated all-dielectric metasurface design. Duke Research Data Repository. https://doi.org/10.7924/r44j0qd59
Data from: Drones and deep learning produce accurate and efficient monitoring of large-scale seabird colonies

Data Citation:

Hayes, M. C., Gray, P. C., Harris, G., Sedgwick, W. C., Crawford, V. D., Chazal, N., Crofts, S., & Johnston, D. W. (2020). Data from: Drones and deep learning produce accurate and efficient monitoring of large-scale seabird colonies. Duke Research Data Repository. https://doi.org/10.7924/r4dn45v9g
Data from: Deep learning for coastal resource conservation: automating detection of shellfish reefs

Data Citation:

Ridge, J. T., Gray, P. C., Windle, A. E., & Johnston, D. W. (2020), Deep learning for coastal resource conservation: automating detection of shellfish reefs. Remote Sens Ecol Conserv. doi:10.1002/rse2.134