Image Classification on AIDER v1 (test)
95F1 ScoreEfficientNet-B0
Evaluation results
| Method | Links | |
|---|---|---|
| EfficientNet-B0Parameters=4,013,953, Model Size (MB)=16.06, FLOPs=479.68M2025.12 | 95 | |
| TakuNetFP=16Parameters=37,685, Model Size (MB)=0.15, FLOPs=35.93M2025.12 | 94.3 | |
| GlimmerNetParameters=29,525, Model Size (MB)=0.12, FLOPs=25.45M2025.12 | 94.2 | |
| TakuNetFP=32Parameters=37,685, Model Size (MB)=0.15, FLOPs=31.38M2025.12 | 93.8 | |
| EmergencyNetParameters=90,963, Model Size (MB)=0.360, FLOPs=77.34M2025.12 | 93.6 | |
| MobileNetV2Parameters=2,230,277, Model Size (MB)=8.92, FLOPs=371.82M2025.12 | 93 | |
| ResNet50Parameters=23,518,277, Model Size (MB)=94.07, FLOPs=4.83G2025.12 | 91.7 | |
| MobileNetV3Parameters=4,208,437, Model Size (MB)=16.83, FLOPs=265.02M2025.12 | 91.5 | |
| ShuffleNetParameters=1,258,729, Model Size (MB)=5.03, FLOPs=176.82M2025.12 | 90.8 | |
| TinyEmergencyNetParameters=39,334, Model Size (MB)=0.160, FLOPs=36.30M2025.12 | 89.5 | |
| SqueezeNetParameters=737,989, Model Size (MB)=2.95, FLOPs=845.38M2025.12 | 89 | |
| VGG16Parameters=14,840,133, Model Size (MB)=59.36, FLOPs=17.62G2025.12 | 60.1 |