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README.md

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   data_files:
   - split: train
     path: data/train-*
+license: cc-by-4.0
+size_categories:
+- 1K<n<10K
 ---
+# Grapesnet Single Cluster
+
+This dataset provides real-world RGB-D imagery of Sonaka grape clusters in a mixed vineyard environment. Captured using a tripod-mounted smartphone and depth camera system, the collection delivers synchronized color and depth data for agricultural computer vision applications. The dataset contains 4,312 images with no classification, segmentation, or bounding-box annotations.
+
+This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
+
+## Citation
+
+```bibtex
+@article{barbole2023grapesnet,
+  title={GrapesNet: Indian RGB & RGB-D vineyard image datasets for deep learning applications},
+  author={Barbole, Dhanashree K. and Jadhav, Parul M.},
+  journal={Data in Brief},
+  volume={48},
+  pages={109100},
+  year={2023},
+  publisher={Elsevier}
+}
+```
+
+
+*This dataset was reformatted from its original format to match HuggingFace standards.*