Kentaro Wada 2cb4eba573 Use labelme.LabelFile in labelme2voc.py		%!s(int64=5) %!d(string=hai) anos
..
.readme	4d4d26ef04 Update README.md	%!s(int64=6) %!d(string=hai) anos
data_annotated	43c442db27 Add example of semantic_segmentation	%!s(int64=7) %!d(string=hai) anos
data_dataset_voc	0644d0c6b5 Update examples/**/data_dataset_voc	%!s(int64=5) %!d(string=hai) anos
README.md	a98437ad74 Add --noviz option to all labelme2voc.py	%!s(int64=5) %!d(string=hai) anos
labelme2voc.py	2cb4eba573 Use labelme.LabelFile in labelme2voc.py	%!s(int64=5) %!d(string=hai) anos
labels.txt	43c442db27 Add example of semantic_segmentation	%!s(int64=7) %!d(string=hai) anos

Semantic Segmentation Example

Annotation

labelme data_annotated --labels labels.txt --nodata

Convert to VOC-format Dataset

# It generates:
#   - data_dataset_voc/JPEGImages
#   - data_dataset_voc/SegmentationClass
#   - data_dataset_voc/SegmentationClassVisualization
./labelme2voc.py data_annotated data_dataset_voc --labels labels.txt

Fig 1. JPEG image (left), PNG label (center), JPEG label visualization (right)

Note that the label file contains only very low label values (ex. 0, 4, 14), and 255 indicates the __ignore__ label value (-1 in the npy file).
You can see the label PNG file by following.

labelme_draw_label_png data_dataset_voc/SegmentationClassPNG/2011_000003.png

README.md

Semantic Segmentation Example

Annotation

Convert to VOC-format Dataset