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Semantic Segmentation on Mexilhão (train)

0.9998Mean Accuracy

Attention U-Net

0.9955360.9966430.997750.998857Nov 28, 2025
Updated 4d ago

Evaluation Results

MethodLinks
2025.11
0.99980.98990.0122
2025.11
0.99980.98930.0642
2025.11
0.99980.99110.0154
2025.11
0.99970.98770.0158
2025.11
0.99970.98660.0225
2025.11
0.99970.9890.0385
2025.11
0.99970.98750.0459
2025.11
0.99970.98820.078
2025.11
0.99960.98250.107
2025.11
0.99960.98270.0213
2025.11
0.99960.98410.0195
2025.11
0.99950.97690.024
2025.11
0.99950.97890.0449
2025.11
0.99930.96850.0332
2025.11
0.99870.94320.0627
2025.11
0.99690.88090.3829
2025.11
0.99660.87290.4874
2025.11
0.99570.85430.4457