Tree Dataset

Tree datasets are crucial for advancing research in forestry, computer vision, and machine learning, primarily focusing on accurate tree detection, counting, and 3D reconstruction from various data sources like imagery and LiDAR. Current research emphasizes developing and applying deep learning models, including GANs and convolutional neural networks, to improve the accuracy and efficiency of tree analysis tasks, often incorporating techniques like transfer learning and fusion of multi-modal data. These advancements have significant implications for sustainable forest management, precision agriculture, and carbon accounting by enabling more accurate and automated monitoring of forest resources.