Different components of object detection models and data augmentation methods are analysed in different sizes of training datasets. Finally, a method based on the Yolo detection model is proposed for ...

However, forest pest detection faces the challenges of a lack of datasets and low accuracy of small target detection. DETR is an end-to-end object detection model based on the transformer, which has ...

The confluence strategy can eliminate the errors and omissions of pest detection caused by occlusion, adhesion and unlabeling among tiny dense pest individuals to the greatest extent. The proposed ...

Notifications You must be signed in to change notification settings Description: This project uses YOLOv5, a state-of-the-art object detection model, to identify and classify agricultural pests in ...

Utilizes a custom-trained YOLOv5 model for accurate and efficient pest detection. This project is licensed under the GNU Affero General Public License v3.0 (AGPL-3.0). See the LICENSE file for details ...

How do you optimize the speed and performance of your object detection model? Here are some tips and tricks that can help you achieve faster and more accurate results. The first step is to choose ...