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ResearchFormerly WizWand

FOR-instance

Benchmarks

TaskDatasetSOTA resultTrendResults

Tree instance segmentation

FOR-instance V2 (test)

91.4Precision

11

Instance Segmentation

FOR-instance (SCION, New Zealand) V2

97.4Precision (P)

10

Interactive tree instance segmentation

FOR-instance v2 (test)

78.2IoU @ 1 click

6

Semantic Segmentation

FOR-instance v2 (test)

99.1IoU (Ground)

6

Instance Segmentation

FOR-instance Weighted Mean V2

91.4Precision

5

Instance segmentation

FOR-instance (TU-WIEN)

69.4F1 Score

4

Instance segmentation

FOR-instance (SCION site)

91.6F1 Score

4

Instance segmentation

FOR-instance RMIT

83F1 Score

4

Instance segmentation

FOR-instance (NIBIO site)

91.9F1 Score

4

Instance segmentation

FOR-instance (CULS site)

100F1 Score

4

Semantic Segmentation

FOR-instance Weighted Mean V2

96.5IoUG

4

Semantic Segmentation

FOR-instance NIBIO, Norway V2

96.2IoU (Ground)

3

Instance Segmentation

FOR-instance NIBIO Norway V2

94.3Precision

3

Semantic Segmentation

FOR-instance BlueCat, Czech Republic V2

65.8IoU (W)

3

Instance Segmentation

FOR-instance BlueCat, Czech Republic V2

87.6Precision (P)

3

Semantic Segmentation

FOR-instance RMIT, Australia V2

97.7IoUG

3

Instance Segmentation

FOR-instance RMIT, Australia V2

89.3Precision

3

Semantic Segmentation

FOR-instance SCION, New Zealand V2

99.6IoUG

3

Semantic Segmentation

FOR-instance TUWIEN, Austria V2

98.8IoU (G)

3

Instance Segmentation

FOR-instance TUWIEN, Austria V2

91.7Precision

3

Semantic Segmentation

FOR-instance YuChen, French Guiana V2

99.8IoUG

3

Instance Segmentation

FOR-instance YuChen French Guiana V2

88.9Precision

3

Semantic Segmentation

FOR-instance CULS, Czech Republic V2

99.8IoU G

3

Instance Segmentation

FOR-instance CULS Czech Republic V2

100Precision

3