3D Data Derivatives of Grotta di Fumane: GigaMesh-processed, Annotations and Segmentations
<p><strong>Overview:</strong></p> <p>This repository contains derivatives of the Open Access publication by Falcucci & Peresani [FP22]. Our derived dataset (n = 62) is used to demonstrate our segmentation algorithm [BHM23], as shown in [BLM22], [BLM23], [LBM23], and will serve as a benchmark dataset for future analyses. To date, and to the best of our knowledge, our dataset is the first dataset of annotated lithic artifacts. In addition to the annotated dataset, we will also provide the segmented [BLM23] and GigaMesh preprocessed datasets [Mar+10; MK13] (n = 732) in separate folders. </p> <p><strong>Repository description: </strong></p> <p>A detailed description of the data can be found in 3D_Data_Derivatives_of_GdF_overview.pdf.</p> <p>For information on the archaeological interpretation of the artifacts, please refer to the original data publication by Falcucci and Peresani (2022). In our publications, we have expanded the CSV file from Falcucci and Peresani (2022) to document the use of the extended dataset:</p> <ul> <li> <p>Annotated: All artifacts that are annotated are marked with a 1.</p> </li> <li> <p>GT_PLY: All artifacts that are annotated and included in this publication are referenced by their respective file, such as 31_gt_labels.ply.</p> </li> <li> <p>Bullenkamp_et_al_2022: Artifacts utilized in [BLM22] are marked with a 1 .</p> </li> <li> <p>Bullenkamp_et_al_2023: Artifacts utilized in [BLM23] are marked with a 1.</p> </li> <li> <p>Linsel_et_al_2023: Artifacts utilized in [LBM23] are marked with a 1.</p> </li> </ul>
ShareScore
48/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 8
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 4