CoolFace
Datasetpublic

Project-AgML/gran_canaria_vegetation_segmentation

Gran Canaria Vegetation Segmentation This dataset provides real aerial RGB imagery capturing vegetation in field environments across Gran Canaria, Spain, collected during 2016, 2018, and 2021. It features natural, non-synthetic scenes acquired from aerial platforms, offering diverse vegetation patterns in a representative island ecosystem. The data serves as a realistic benchmark for semantic segmentation tasks focused on vegetation mapping in outdoor field settings. The dataset… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/gran_canaria_vegetation_segmentation.

sourceHugging Faceupdated 9d agoView on Hugging Face
0likes44downloads
Dataset Card

Gran Canaria Vegetation Segmentation

This dataset provides real aerial RGB imagery capturing vegetation in field environments across Gran Canaria, Spain, collected during 2016, 2018, and 2021. It features natural, non-synthetic scenes acquired from aerial platforms, offering diverse vegetation patterns in a representative island ecosystem. The data serves as a realistic benchmark for semantic segmentation tasks focused on vegetation mapping in outdoor field settings. The dataset contains 555 images with pixel-level mask annotations.

This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.

Mask color can be decoded with the following key: | Comunidad | Código | RGB | |----------------------------|--------|-----------------| | Termófilo | 9310EF | (147, 16, 239) | | Balancones | FEA7FF | (254, 167, 255) | | Cañaverales | 06FAF1 | (6, 250, 241) | | Cardonales | FA9109 | (250, 145, 9) | | Cultivos | E2DEDF | (226, 222, 223) | | Escobonal | 06F86C | (6, 248, 108) | | Laurisilva | 0100FD | (1, 0, 253) | | Matorral nitrófilo | F909EB | (249, 9, 235) | | Palmerales | 4D58E8 | (77, 88, 232) | | Pastos | B08888 | (176, 136, 136) | | Pinar denso | 009601 | (0, 150, 1) | | Pinar laxo | 1AF903 | (26, 249, 3) | | Edificios | FFFFFF | (255, 255, 255) | | Tabaibal de tabaiba amarga | ACF906 | (172, 249, 6) | | Tabaibal de tabaiba dulce | FD0101 | (253, 1, 1) | | Tarajalera | 5BA7CD | (91, 167, 205) | | Helecheras | FBFA00 | (251, 250, 0) | | Jaguarzal | F9DF06 | (249, 223, 6) | | Plantaciones de árboles | 9FCB60 | (159, 203, 96) | | Retamar de retama amarilla | C8FAC8 | (200, 250, 200) | | Carreteras | 626262 | (98,98,98) | | Agua | 33b1a7 | (51,177,167) | | Cultivos Abandonado | d1a4cd | (209, 164, 205) | | No Vegetation | af855b | (175,133,91) | | Shadows | 000000 | (0,0,0) |

Citation

bibtex
@article{salascceres2025gran,
  title={Gran canaria vegetation segmentation dataset from multi-year aerial imagery for environmental monitoring and conservation},
  author={Salas-Cáceres, José and Balia, Riccardo and Salas-Pascual, Marcos and Lorenzo-Navarro, Javier and Castrillón-Santana, Modesto},
  journal={Data in Brief},
  volume={59},
  pages={111419},
  year={2025},
  publisher={Elsevier}
}

Salas-Cáceres, J., Lorenzo-Navarro, J., Castrillón-Santana, M., Salas-Pascual, M., & Balia, R. (2024). Vegetation mapping dataset of Gran Canaria, Canary Islands, Spain. [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.14215453

This dataset was reformatted from its original format to match HuggingFace standards.