Accelerating the creation of instance segmentation training sets through bounding box annotation. (arXiv:2205.11563v1 [cs.CV])

Collecting image annotations remains a significant burden when deploying CNN
in a specific applicative context. This is especially the case when the
annotation consists in binary masks covering object instances. Our work
proposes to delineate instances in three steps, based on a semi-automatic
approach: (1) the extreme points of an object (left-most, right-most, top,
bottom pixels) are manually defined, thereby providing the object bounding-box,
(2) a universal automatic segmentation tool like Deep Extreme Cut is used to
turn the bounded …

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