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README.md

@@ -1,3 +1,42 @@
 ---
 license: cc-by-4.0
+task_categories:
+  - object-detection
+size_categories:
+  - 1K<n<10K
 ---
+
+# MTDC — Maize Tassels Detection and Counting Dataset
+
+A UAV-imagery dataset for maize tassel detection and counting on maize crops. The dataset contains 361 images with 13,564 annotated maize tassel instances (single class: `maize`). Bounding boxes are in COCO format `[x, y, width, height]`.
+
+| Split | Images | Annotations |
+|-------|--------|-------------|
+| train | 361 | 13,564 |
+
+This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
+
+## Loading
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("Project-AgML/MTDC_Maize_Tassels_Detection_Counting_Dataset")
+```
+
+# Citation
+
+```bibtex
+@article{zou2020maize,
+  title={Maize tassels detection: a benchmark of the state of the art},
+  author={Zou, Hao and Lu, Hao and Li, Ying and Liu, Liu and Cao, Zhiguo},
+  journal={Plant Methods},
+  volume={16},
+  number={1},
+  year={2020},
+  publisher={Springer},
+  doi={10.1186/s13007-020-00651-1}
+}
+
+Zou, Hao; Lu, Hao; Li, Ying; Liu, Liu; Cao, Zhiguo (2020), "Maize tassels detection: a benchmark of the state of the art", Plant Methods, 16, doi: 10.1186/s13007-020-00651-1
+```