Update README.md

README.md

@@ -5,4 +5,68 @@ base_model:
 pipeline_tag: keypoint-detection
 tags:
 - sports
----
+- swimming
+- pose-estimation
+---
+
+# SwimAnalysisPro: YOLO11-Pose for Side-View Swimming Analysis
+# 側面游泳姿勢分析模型
+
+## Model Description / 模型描述
+
+This model is fine-tuned based on the Ultralytics YOLO11-pose architecture, specifically optimized for detecting and tracking swimmer poses from a side-view perspective. It is designed for technique analysis and biomechanical evaluation in aquatic environments.
+
+本模型基於 Ultralytics YOLO11-pose 架構進行微調，專門針對側面視角的游泳者姿勢進行偵測與追蹤優化。適用於游泳技術分析以及水下或水面的生物力學評估。
+
+## Training Dataset / 訓練資料集
+
+The model was trained on a large-scale specialized dataset to ensure robustness across different styles.
+
+本模型使用大規模專用資料集進行訓練，確保在不同泳姿下的穩定性。
+
+- Total Images / 影像總數: 28,000
+- Perspective / 視角: Side-view / 側面視角
+- Stroke Coverage / 涵蓋泳姿: Butterfly, Backstroke, Breaststroke, and Freestyle / 蝶式、仰式、平式、自由式全涵蓋
+
+## Keypoints Index / 關鍵點索引表
+
+The model tracks 7 core human keypoints optimized for swimming stroke analysis:
+
+本模型追蹤 7 個核心人體關鍵點，針對游泳動作分析進行優化：
+
+| Index / 索引 | Keypoint (English) | 關鍵點 (中文) |
+| --- | --- | --- |
+| 0 | Head | 頭部 |
+| 1 | Shoulder | 肩膀 |
+| 2 | Elbow | 手肘 |
+| 3 | Wrist | 手腕 |
+| 4 | Hip | 髖部 |
+| 5 | Knee | 膝蓋 |
+| 6 | Ankle | 腳踝 |
+
+## Performance / 效能指標
+
+The evaluation metrics including mAP50 and mAP50-95 are provided in the charts below.
+
+測試集上的效能數據（如 mAP50 與 mAP50-95）請參考下方圖表。
+
+![Results Metrics](results.png)
+
+## How to Use / 如何使用
+
+You can load and run this model directly using the Ultralytics Python package:
+
+你可以使用 Ultralytics Python 套件直接載入並執行此模型：
+
+```python
+from ultralytics import YOLO
+
+# Load the model
+model = YOLO("your_username/your_model_name")
+
+# Run inference
+results = model.predict(source="swimming_video.mp4", save=True, conf=0.5)
+
+# Process results
+for result in results:
+    keypoints = result.keypoints.data