Enhancing Semantic Forestry Segmentation Through Advanced Preprocessing With ML Models

Enhancing Semantic Forestry Segmentation Through Advanced Preprocessing With ML Models

This study explores the application of advanced artificial intelligence based preprocessing techniques to improve semantic forestry segmentation. The research investigates the performance of You Only Look Once version 8 (YOLOv8) from Ultralytics, Detectron2 from Meta, and the Segment Anything Model...

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Bibliographic Details
Main Authors: Krzysztof Wolk, Jacek Niklewski, Michal Kopczynski, Marek S. Tatara, Oleg Zero
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Convolutional neural networks
forestry
machine learning
object detection
preprocessing
semantic segmentation
Online Access:https://ieeexplore.ieee.org/document/11020665/
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