SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation

Benchmark Model Rank Results
multi-label-image-classification-on-bigearthnetMoCo-v2 (ResNet50, fine tune)#1mAP (micro): 91.8official split: No
multi-label-image-classification-on-bigearthnetMoCo-v3 (ViT-S/16, fine tune)#2mAP (micro): 89.9official split: No
multi-label-image-classification-on-bigearthnetMAE (ViT-S/16, fine tune)#4mAP (micro): 88.9official split: No
multi-label-image-classification-on-bigearthnet-official-test-setMoCov3 (ViT-S/16)#1mAP (micro): 89.3F1 Score: 80.5
multi-label-image-classification-on-bigearthnet-official-test-setMoCov2 (ResNet50)#3mAP (micro): 88.7F1 Score: 79.8