π°οΈ Planet Amazon Satellite Scene Multi-Label Classifier
Multi-label classification of remote sensing satellite images over the Amazon rainforest using MobileNetV2 (Baseline) and EfficientNetV2-S (Proposed Novel Architecture).
π Performance Benchmarks
- Dataset: Planet Amazon (40,479 images, 17 classes)
- Macro Recall: 98.72% (EfficientNetV2-S)
- Official Kaggle Public Score: 0.60475
- Official Kaggle Private Score: 0.59929 (Zero Overfitting, Ξ = 0.0054)
ποΈ Architecture Innovations
- Backbone:
EfficientNetV2-Swith Fused-MBConv layers - Loss: Label Smoothing Binary Cross-Entropy (Ξ΅ = 0.05)
- Schedule: Cosine Annealing Learning Rate
- Activation: GELU non-linearities in 2-stage classification head
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