The Motifs on the Fresco Fragments (MOFF) dataset is used as a benchmark for semantic segmentation, and classification tasks for fractured fresco fragments. It contains pixel-wise annotations of 12 motif categories shown below, which were created in Segments.ai.
The semantic classes are also defined in the YAML
files (in the yolo_processing
folder, repair_motif_boxes.yaml
for bounding box annotation and repair_motif_seg.yaml
for polygonal shapes annotations).
In the final mask images the class numbers correspond to the following categories:
0: images_background
(image background)1: fragment_background
(the unadorned fragment region)2: blue_bird
,3: yellow_bird
,4: red_griffon
,5: red_flower
,6: blue_flower
,7: red_circle
,8: red_spiral
,9: curved_green_stripe
10: thin_red_stripe
,11: thick_red_stripe
,12: thin_floral_stripe
,13: thick_floral_stripe
Dataset is published with two schemes of pixel annotations, i.e., for 3-class and 13-class semantic segmentation presented as Scenario 1 and 2 in the paper, respectively.
Illustration of pixel-wise semantic annotations for the MoFF dataset. The input image is on the left, followed by 3-class annotations for Scenario 1 in the middle, and motif-wise annotations for Scenario 2 on the right (different colors represent distinct pixel classes)