MOT dataset with gt segmentation annotation
1. tud-crossing
[1] H. Riemenschneider, S. Sternig. M. Donoser, P. Roth and H. Bischof.
Hough Regions for Joining Instance Localization and Segmentation. ECCV 2012
Contents:
tud-crossing-sequence_segmentation_ICG_anno.txt - new bbox annotation
DaSide0811-seq7-*_bbox.png - new bbox overlayed in color
DaSide0811-seq7-*_bunt.png - new segmentation in color
DaSide0811-seq7-*_over.png - new segmentation overlayed to image
DaSide0811-seq7-*_seg.png - new segmentation as labels
The format of each annotation line is:
frame,x1,y1,x2,y2,visibility, ASC(l),ASC(r),ASC(h),ASC(f),ASC(b), uniqueID
Final notes:
The segmentation masks were individually and manually drawn with help
from a Total Variation (TV) segmentation tool (Thanks Markus Unger!)
and are not optimized w.r.t. each other. That means, they do not overlap,
however may contain holes. Anyone interested may run a multi-label
optimization for better alignment.
[1] H. Riemenschneider, S. Sternig. M. Donoser, P. Roth and H. Bischof.
Hough Regions for Joining Instance Localization and Segmentation. ECCV 2012
Contents:
tud-crossing-sequence_segmentation_ICG_anno.txt - new bbox annotation
DaSide0811-seq7-*_bbox.png - new bbox overlayed in color
DaSide0811-seq7-*_bunt.png - new segmentation in color
DaSide0811-seq7-*_over.png - new segmentation overlayed to image
DaSide0811-seq7-*_seg.png - new segmentation as labels
The format of each annotation line is:
frame,x1,y1,x2,y2,visibility, ASC(l),ASC(r),ASC(h),ASC(f),ASC(b), uniqueID
Final notes:
The segmentation masks were individually and manually drawn with help
from a Total Variation (TV) segmentation tool (Thanks Markus Unger!)
and are not optimized w.r.t. each other. That means, they do not overlap,
however may contain holes. Anyone interested may run a multi-label
optimization for better alignment.
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