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README.md

@@ -29,4 +29,34 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+license: cc-by-4.0
+task_categories:
+- image-classification
+size_categories:
+- 10K<n<100K
 ---
+# Deepweeds Classification
+
+This dataset comprises real-world RGB images capturing various weed species in agricultural field environments. Collected under natural outdoor conditions, the images provide a diverse visual representation of weeds for computer vision applications in precision agriculture. The dataset contains 17,509 images across 9 classes: 0, 1, 2, 3, 4, 5, 6, 7, 8.  
+Images per class:
+- 0: 1,125
+- 1: 1,064
+- 2: 1,031
+- 3: 1,022
+- 4: 1,062
+- 5: 1,009
+- 6: 1,074
+- 7: 1,016
+- 8: 9,106
+
+This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
+
+## Citation
+
+```bibtex
+<!-- TODO: add BibTeX citation -->
+```
+
+<!-- TODO: add plain text citation -->
+
+*This dataset was reformatted from its original format to match HuggingFace standards.*