Update README.md

README.md

@@ -25,4 +25,32 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+license: cc-by-4.0
+task_categories:
+- object-detection
+size_categories:
+- 1K<n<10K
 ---
+# QuinceSet Detection
+
+A dataset for detection of quince fruit. The dataset contains 1,515 images with 17,171 bounding box annotations across 2 categories.
+
+This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
+
+## Citation
+
+```bibtex
+@article{kaufmane2022quinceset,
+  title={QuinceSet: Dataset of annotated Japanese quince images for object detection},
+  author={Kaufmane, Ed{\=\i}te and Sudars, Kaspars and Namat{\=e}vs, Ivars and Kalni{\c{n}}a, Ieva and Judvaitis, J{\=a}nis and Bala{\v{s}}s, Rihards and Strauti{\c{n}}a, Sarm{\=\i}te},
+  journal={Data in Brief},
+  volume={42},
+  pages={108332},
+  year={2022},
+  publisher={Elsevier}
+}
+```
+
+Kaufmane, E., Sudars, K., Namatēvs, I., Kalniņa, I., Judvaitis, J., Balašs, R.& Strautiņa, S. (2022). QuinceSet: Dataset of Annotated Japanese Quince Images for Object Detection. Data in Brief. https://doi.org/10.5281/zenodo.6402251
+
+*This dataset was reformatted from its original format to match HuggingFace standards.*