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README.md

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   - split: train
     path: data/train-*
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+# Gobhiset Cauliflower Segmentation
+
+This dataset contains real RGB images of cauliflower crops captured in a field environment using drone-based aerial photography. Collected in Portici, Italy, during the autumn of 2020, the imagery depicts cauliflower plants under natural field conditions for agricultural semantic segmentation tasks.
+
+A dataset for semantic segmentation of Gobhiset Cauliflower Segmentation. The dataset contains 244 images with pixel-level mask annotations.
+
+This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
+
+## Citation
+
+```bibtex
+@article{rana2024gobhiset,
+  title={GobhiSet: Dataset of raw, manually, and automatically annotated RGB images across phenology of Brassica oleracea var. Botrytis},
+  author={Rana, Shubham and Crimaldi, Mariano and Barretta, Domenico and Carillo, Petronia and Cirillo, Valerio and Maggio, Albino and Sarghini, Fabrizio and Gerbino, Salvatore},
+  journal={Data in Brief},
+  volume={54},
+  pages={110506},
+  year={2024},
+  publisher={Elsevier}
+}
+```
+
+
+*This dataset was reformatted from its original format to match HuggingFace standards.*