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README.md

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-license: mit
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+## 📌 Overview
+
+MOUNT-Cattle is a mounting dataset, covering 1,176 mounting instances, which follows the COCO format and supports drop-in training across pose estimation models. Mounting posture is an important visual indicator of estrus in dairy cattle.
+
+In the actual training process, please use the comprehensive dataset that combines MOUNT-Cattle with the public NWAFU-Cattle dataset. This repository provides the corresponding comprehensive dataset used in that training setup. supporting:
+
+- Object Detection (bounding boxes)
+- Keypoint Detection (pose estimation)
+
+The dataset was originally labeled in **COCO format**, and to be compatible with Hugging Face, we provide the converted **JSONL format**.
+
+
+## 📁 Dataset Structure
+
+### 🔹 Original COCO Format
+
+```
+MOUNT-Cattle/
+├── images/
+├── annotations/
+│   ├── train.json
+│   ├── val.json
+│   └── test.json
+```
+
+### 🔹 Hugging Face Friendly JSONL Format
+
+```
+MOUNT-Cattle/
+├── images/
+├── train.jsonl
+├── validation.jsonl
+└── test.jsonl
+```
+
+## 🦴 Keypoints Annotation
+
+The dataset defines the following keypoints in order:
+
+```
+1. Head-top
+2. Neck
+3. Spine
+4. Right_front_leg_root
+5. Right_front_knee
+6. Right_front_hoof
+7. Left_front_leg_root
+8. Left_front_knee
+9. Left_front_hoof
+10. Coccyx
+11. Right_hind_leg_root
+12. Right_hind_knee
+13. Right_hind_hoof
+14. Left_hind_leg_root
+15. Left_hind_knee
+16. Left_hind_hoof
+```
+
+## 📜 License
+
+Please specify the dataset license here.
+
+## 🙋 Acknowledgement
+
+Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, National Engineering Research Center for Information Technology in Agriculture

annotations/COCO.zip

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+size 1070835