eelianafang/MOUNT-Cattle

Updates/News 📣

• —🎉 News (Feb. 2026): The dataset paper FSMC-Pose has been accepted for CVPR 2026 Findings!
• —🔗 News: Please find the open-source dataset on Hugging Face: MOUNT-Cattle.
• —🔥 Downloads reached 2.4k within 7 days of release.

<!-- <p align="center"> --> <img src="https://cdn-uploads.huggingface.co/production/uploads/68cd5c5c87a712fdd6b0fc2d/MyjaRbTp8CXqky8rqx7.png" width="500"/> <!-- </p> -->

<!-- <p align="center"> --> <a href="https://arxiv.org/abs/2603.16596"> <img src="https://img.shields.io/badge/FSMC--Pose-Paper-E76F51?style=flat&logo=arxiv&logoColor=white" /> </a> &nbsp;&nbsp; <a href="https://huggingface.co/datasets/eelianafang/MOUNT-Cattle"> <img src="https://img.shields.io/badge/MOUNT--Cattle-Dataset-c5a730?style=flat&logo=huggingface&logoColor=white" /> </a> &nbsp;&nbsp; <a href="https://github.com/elianafang/FSMC-Pose"> <img src="https://img.shields.io/badge/FSMC--Pose-Code-4C9BDB?style=flat&logo=github&logoColor=white" /> </a> <!-- </p> -->

📌 Overview

Mounting posture is an important visual indicator of estrus in dairy cattle. 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.

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