Rice Deterioration Classification on Rice Deterioration Detection Dataset benchmark leaderboard · SOTA2 Research

Rice Deterioration Classification on Rice Deterioration Detection Dataset

99.89AccuracyFDRA-Net

Evaluation Results

Method	Links
FDRA-Net2026.02		99.89	100	99.67	99.83
FDRA-Net2026.02		99.89	100	100	100
FDRA-Net2026.02		99.89	99.67	100	99.83
SS-Net2026.02		91.22	82.42	95.33	88.41
SS-Net2026.02		91.22	98.32	97.67	97.99
SS-Net2026.02		91.22	94.9	80.67	87.21
NAM2026.02		89.89	90.15	79.33	84.4
NAM2026.02		89.89	96.64	96	96.32
NAM2026.02		89.89	83.73	94.33	88.71
SKNet2026.02		89.22	86.69	80.33	83.39
SKNet2026.02		89.22	86.35	97	91.37
SKNet2026.02		89.22	95.09	90.33	92.65
ResNet2026.02		88.33	87.08	78.67	82.66
ResNet2026.02		88.33	90.42	94.33	92.33
ResNet2026.02		88.33	87.34	92	89.61
CNN2026.02		87.78	88.71	73.33	80.29
CNN2026.02		87.78	92.43	97.67	94.98
CNN2026.02		87.78	82.69	92.33	87.24
SENet2026.02		86.78	90.42	72.33	80.37
SENet2026.02		86.78	89.14	93	91.03
SENet2026.02		86.78	82.13	95	88.1