Grabcut

by No License

Grabcut

To evaluate our method we designed a new ground truth database of 50 images. The following zip-files contain: Data, Segmentation, Labelling - Lasso, Labelling - Rectangle. Due to license issues, please download the following images (readme.txt) from the zip-file available at Berkley Image database. Explanation of the datasets:Segmentation: A tri-map which specifies background (0), foreground (255) and mixed area (128). The mixed area contains pixels which are a combination of fore- and background texture. Note, in low contrast regions the true boundary is not observed and the ground truth is in this case a "good guess".Labelling-Lasso: Imitates a tri-map obtained by a lasso or pen tool. The colour coding is: background (0); background - used for colour model training (64); inference (unknown) region (128); foreground - used for colour model training (255). Note, a lasso tool can be imitated by specifying the foreground region (255) as unknown (128).Labelling-Rectangle: Imitates a tri-map obtained by two mouse clicks (rectangle). Same colour coding as in Labelling-Lasso.

Dataset Attributes

Label SVG
CategoriesBoundingbox, Color, Optimization, Background