Remote Sensing Classification on Trento (test) benchmark leaderboard · SOTA2 Research

Remote Sensing Classification on Trento (test)

99.95Accuracy (Apples)MMLGNet

Evaluation Results

Method	Links
MMLGNet2026.01		99.95	99.68	100	99.89	99.81	95.74	99.42	99.18	0.9922
FusAtNet2026.01		98.99	99.31	95.87	99.93	99.56	91.23	99.06	98.48	0.9879
TB-CNN2026.01		98.07	95.21	93.32	99.93	98.78	89.98	97.92	96.19	0.9681
ELM2026.01		95.81	96.97	96.66	99.39	82.24	86.52	91.32	92.93	0.9042
SVM2026.01		85.49	89.76	59.56	97.42	93.85	89.96	92.3	86.01	0.8971