Create README.md

README.md

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+---
+configs:
+- config_name: default
+  default: true
+  features:
+  - name: image
+    dtype: image
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': BroadLeafWeed
+          '1': Grass
+          '2': Sorghum
+license: cc-by-4.0
+task_categories:
+- image-classification
+size_categories:
+- 1K<n<10K
+---
+
+# Sorghum Weed Classification
+
+A dataset for weed classification in sorghum fields. The dataset contains 4,312 images across 3 classes: BroadLeafWeed, Grass, Sorghum.  
+Images per class:
+- BroadLeafWeed: 1,441
+- Grass: 1,467
+- Sorghum: 1,404
+
+This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
+
+## Citation
+
+```bibtex
+@article{justina2024sorghumweeddataset_classification,
+  title={SorghumWeedDataset\_Classification and SorghumWeedDataset\_Segmentation datasets for classification, detection, and segmentation in deep learning},
+  author={Justina, Michael J and Thenmozhi, M},
+  journal={Data in brief},
+  volume={52},
+  pages={109935},
+  year={2024},
+  publisher={Elsevier}
+}
+```
+
+Michael, Justina; M, Thenmozhi (2023), “SorghumWeedDataset_Classification”, Mendeley Data, V1, doi: 10.17632/4gkcyxjyss.1