YOLOv8-Coal is a deep learning model based on the YOLOv8 architecture dedicated to coal rock image detection and classification. This project integrates the latest algorithms and techniques to achieve high accuracy and efficiency in coal recognition.
Before you start using YOLOv8-Coal, you need to install the required dependencies.
pip install -r requirements.txt
Access and compile Deformable Convolutional Networks v3 (DCNv3):
cd ultralytics/nn/modules/ops_dcnv3
sh make.sh
Refer to YOLOv8 Docs for more information on how to train, validate and test the model.
This project is under the AGPL-3.0 licence. See the LICENSE file for more information.