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ResearchFormerly WizWand

Aerial Image Classification on AIDER v2 (test)

0.966F1 ScoreGlimmerNet
0.828720.864360.90.93564Jan 10, 2025Mar 6, 2025Apr 30, 2025Jun 25, 2025Aug 19, 2025Oct 13, 2025Dec 8, 2025
Updated 8mo ago

Evaluation results

MethodLinks
GlimmerNetParameters=31,204, Model Size (MB)=0.12, FLOPs=22.26M2025.120.966
DiRecNetV2Parameters=799,380, Model Size (MB)=3.20, FLOPS=1.09G, Resolution=224x2242025.010.964
DiRecNetV2Parameters=799,380, Model Size (MB)=3.20, FLOPs=1.09G2025.120.964
TakuNetPrecision=FP-16, Parameters=37,444, Model Size (MB)=0.15, FLOPS=31.38M, Resolution=224x2242025.010.958
TakuNetFP=16Parameters=37,444, Model Size (MB)=0.15, FLOPs=31.38M2025.120.958
TakuNetPrecision=FP-32, Parameters=37,444, Model Size (MB)=0.15, FLOPS=31.38M, Resolution=224x2242025.010.954
TakuNetFP=32Parameters=37,444, Model Size (MB)=0.15, FLOPs=31.38M2025.120.954
EmergencyNetParameters=90,704, Model Size (MB)=0.360, FLOPS=61.96M, Resolution=224x2242025.010.952
EmergencyNetParameters=90,704, Model Size (MB)=0.36, FLOPs=61.96M2025.120.952
ConvNext TinyParameters=27,820,000, Model Size (MB)=111.29, FLOPS=4.46G, Resolution=224x2242025.010.94
ConvNext TinyParameters=27,820,000, Model Size (MB)=111.29, FLOPs=4.46G2025.120.94
GCVit XXtinyParameters=11,480,000, Model Size (MB)=45.93, FLOPS=1.94G, Resolution=224x2242025.010.932
GCVit XXtinyParameters=11,480,000, Model Size (MB)=45.93, FLOPs=1.94G2025.120.932
TinyEmergencyNetParameters=39,075, Model Size (MB)=0.160, FLOPS=31.57M, Resolution=224x2242025.010.928
TinyEmergencyNetParameters=39,075, Model Size (MB)=0.16, FLOPs=31.57M2025.120.928
MnasNetParameters=3,110,000, Model Size (MB)=12.43, FLOPS=0.34G, Resolution=224x2242025.010.897
MnasNetParameters=3,110,000, Model Size (MB)=12.43, FLOPs=0.34G2025.120.897
MobileNetV2Parameters=2,230,000, Model Size (MB)=8.92, FLOPS=0.33G, Resolution=224x2242025.010.893
MobileNetV2Parameters=2,230,000, Model Size (MB)=8.92, FLOPs=0.33G2025.120.893
MobileViT V2 0100Parameters=4,390,000, Model Size (MB)=17.56, FLOPS=1.41G, Resolution=224x2242025.010.875
MobileViT V2 0100Parameters=4,390,000, Model Size (MB)=17.56, FLOPs=1.41G2025.120.875
Vit TinyParameters=5,530,000, Model Size (MB)=22.1, FLOPS=1.08G, Resolution=224x2242025.010.873
Vit TinyParameters=5,530,000, Model Size (MB)=22.1, FLOPs=1.08G2025.120.873
Convit TinyParameters=5,520,000, Model Size (MB)=22.07, FLOPS=1.08G, Resolution=224x2242025.010.871
Convit TinyParameters=5,520,000, Model Size (MB)=22.07, FLOPs=1.08G2025.120.871
MobileNetV3 SmallParameters=930,000, Model Size (MB)=3.72, FLOPS=0.06G, Resolution=224x2242025.010.868
MobileNetV3 SmallParameters=930,000, Model Size (MB)=3.72, FLOPs=0.06G2025.120.868
EfficientNet-B0Parameters=4,010,000, Model Size (MB)=16.05, FLOPS=0.41G, Resolution=224x2242025.010.862
EfficientNet-B0Parameters=4,010,000, Model Size (MB)=16.05, FLOPs=0.41G2025.120.862
MobileViT xxsParameters=950,000, Model Size (MB)=3.81, FLOPS=0.26G, Resolution=224x2242025.010.859
MobileViT xxsParameters=950,000, Model Size (MB)=3.81, FLOPs=0.26G2025.120.859
MobileViT sParameters=4,940,000, Model Size (MB)=19.76, FLOPS=1.42G, Resolution=224x2242025.010.855
MobileViT sParameters=4,940,000, Model Size (MB)=19.76, FLOPs=1.42G2025.120.855
ShuffleNet V2Parameters=1,260,000, Model Size (MB)=5.03, FLOPS=0.15G, Resolution=224x2242025.010.852
ShuffleNet V2Parameters=1,260,000, Model Size (MB)=5.03, FLOPs=0.15G2025.120.852
SqueezeNetParameters=730,000, Model Size (MB)=2.90, FLOPS=0.26G, Resolution=224x2242025.010.845
SqueezeNetParameters=730,000, Model Size (MB)=2.90, FLOPs=0.26G2025.120.845
MobileViT xsParameters=1,930,000, Model Size (MB)=7.74, FLOPS=0.71G, Resolution=224x2242025.010.837
MobileViT xsParameters=1,930,000, Model Size (MB)=7.74, FLOPs=0.71G2025.120.837
MobileViT V2 050Parameters=1,110,000, Model Size (MB)=4.46, FLOPS=0.36G, Resolution=224x2242025.010.834
MobileVit V2 050Parameters=1,110,000, Model Size (MB)=4.46, FLOPs=0.36G2025.120.834