🐏 Sheep Detection Model v1

This repository contains code for a sheep detection model using YOLO v8.

💻 Requirements

• GPU: The model requires a GPU to train efficiently. Please ensure that you have access to a GPU before proceeding.
• PyTorch Library: Refer to the PyTorch website to install the appropriate version based on your operating system. You can find the installation instructions here: https://pytorch.org/
• YOLO Library: You can install the YOLO library by running pip install ultralytics.
• yaml file: Give the access directory to the dataset.

📄 Dataset

This model was built using two roboflow universe dataset. Both contained aerial photos of sheeps

Dataset 1: Aerial Sheep Dataset 2: Sheep Gen4

All images from both are organized in train/validation/test:

Model parameters

• pre-trained model: yolov8m.pt
• batch: 8
• optimizer: auto
• lr: 0.01
• momentum: 0.937

Results

• recall = 0.76
• precision = 0.93

https://github.com/ICAERUS-EU/UC3_Livestock_Monitoring/assets/99217487/0bbd56ab-905b-473e-91db-b5fb0aa479ef