With deep learning becoming a more prominent approach for automatic classification of three-dimensional point cloud data, a key bottleneck is the amount of high quality training data, especially when
These files support the paper "Creating Site Specific Synthetic Machine Learning Training Datasets for Conservation" by providing a sample of the synthetic data generated using the described methodolo
This dataset is fully synthetic and was generated using a combination of manual design and large language model (ChatGPT) assistance.It does not represent real-world measurements or observations and i
We present below a sample dataset collected using our framework for synthetic data collection that is efficient in terms of time taken to collect and annotate data, and which makes use of free and ope
