Upload README.md with huggingface_hub

README.md

@@ -25,4 +25,30 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+license: cc-by-4.0
+task_categories:
+- image-classification
+size_categories:
+- 1K<n<10K
 ---
+# Wpdv2 Bbch Classification
+
+This dataset provides real-world RGB images of agricultural weeds annotated using the BBCH growth stage classification system. It captures diverse weed species under typical field conditions relevant to precision agriculture applications. The images serve as a foundation for developing computer vision models focused on weed identification in crop environments. The dataset contains 3,920 images across 5 classes: Amaranthus_retroflexus (AMARE), Amaranthus_tuberculatus (AMATU), Chenopodium_album (CHEAL), Echinochloa_crus-galli (ECHCG), Setaria_faberi (SETFA).  
+Images per class:
+- Amaranthus_retroflexus (AMARE): 934
+- Amaranthus_tuberculatus (AMATU): 409
+- Chenopodium_album (CHEAL): 832
+- Echinochloa_crus-galli (ECHCG): 768
+- Setaria_faberi (SETFA): 977
+
+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.*