Update README.md

README.md

@@ -1,3 +1,56 @@
----
-license: cc-by-nc-4.0
----
+---
+license: cc-by-nc-4.0
+datasets:
+  - gfermoto/birds-eu-merged
+tags:
+  - image-classification
+  - birds
+  - europe
+  - birdlense
+  - yolo
+  - ultralytics
+  - scientific-name
+pipeline_tag: image-classification
+library_name: ultralytics
+---
+
+# BirdLense Birds EU — YOLO11n-cls
+
+Классификатор европейских птиц для [BirdLense Hub](https://github.com/Gfermoto/BirdLense-Hub). ~491 вид, формат `Scientific (Common)` — совместим с Frigate и BirdNET.
+
+## Модель
+
+| Параметр | Значение |
+|----------|----------|
+| **Архитектура** | YOLO11n-cls (Ultralytics) |
+| **Классов** | ~491 вид птиц |
+| **Размер** | ~4.5 MB |
+| **Метрики (val)** | top1 ~85.3%, top5 ~91.9% |
+
+## Датасет
+
+Обучена на [gfermoto/birds-eu-merged](https://huggingface.co/datasets/gfermoto/birds-eu-merged):
+- birds-525 (Hugging Face)
+- iNaturalist Europe (place_id=96372)
+- ~17 800 train, ~4 600 val изображений
+
+## Использование
+
+### Ultralytics
+
+```python
+from ultralytics import YOLO
+
+model = YOLO("gfermoto/birdlense-birds-eu", task="classify")
+results = model("bird.jpg")
+```
+
+### Скачать в BirdLense
+
+```bash
+huggingface-cli download gfermoto/birdlense-birds-eu best.pt --local-dir app/processor/models/classification/weights
+```
+
+## Лицензия
+
+CC BY-NC 4.0. Датасет: [gfermoto/birds-eu-merged](https://huggingface.co/datasets/gfermoto/birds-eu-merged).