Image Classification on Flevoland 1% (train) benchmark leaderboard · SOTA2 Research

Image Classification on Flevoland 1% (train)

99.81Water AccuracySDF2Net

Evaluation Results

Method	Links
SDF2Net2024.02		99.81	99.23	97.46	85.1	94.05	91.59	91.3	95.8	99	94.49	98.16	97.34	98.86	98.51	86.85	96.01	95.17	95.64
3D-CVNN2024.02		99.33	95.11	90.48	91.57	97.31	91.51	94.69	92.76	93.2	84.88	89.55	95.5	97.72	94.19	100	94.51	93.85	94
CV-CNN-SE2024.02		99.32	98.8	96.32	86.19	93.87	77.65	95.39	97.65	95.9	94.08	98.78	81.86	98.62	96.76	86.33	94.78	93.17	93.92
Wavelet CNN2024.02		99.09	85.39	98.29	83.9	88.25	74.78	95.93	99.19	91.45	95.06	96.41	72.03	97.53	96.51	84.6	91.73	90.56	90.96
2D-CVNN2024.02		97.05	81.44	93.4	5.62	71.88	67.92	79.11	92.72	68.48	0	69.24	22.04	95.94	73.08	80.97	73.09	66.59	70.38
SVM2024.02		81.91	71.71	82.04	0.24	68.99	68.1	79.4	68.33	73.01	0	73.97	0.05	83.86	0	1.04	63.22	50.18	59.18