INFO Input images: 2935; transformed images: 92697
INFO Input labels: {'Whale': 1, 'Bird': 6628, 'Egregia': 302, 'Kelp': 25263, 'Jelly': 372, 'Boat': 10, 'Mooring_Buoy': 3, 'Batray': 354, 'Otter': 12, 'Velella_velella_raft': 74, 'Cement_Ship': 23, 'Shark': 28, 'Surfboard': 5, 'Pinniped': 72, 'Kayak': 5, 'Velella_velella': 29, 'Fish': 13, 'Mola': 4, 'Person': 10};
transformed labels: {'Whale': 17, 'Kelp': 154990, 'Jelly': 755, 'Bird': 10666, 'Boat': 164, 'Egregia': 921, 'Mooring_Buoy': 4, 'Otter': 46, 'Cement_Ship': 3692, 'Shark': 172, 'Batray': 782, 'Surfboard': 24, 'Pinniped': 297, 'Kayak': 41, 'Fish': 28, 'Mola': 13, 'Person': 16, 'Velella_velella_raft': 355}
https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11x.pt
Ultralytics 8.3.216 🚀 Python-3.12.12 torch-2.8.0+cu126 CUDA:0 (NVIDIA A100-SXM4-80GB, 81222MiB)
Setup complete ✅ (12 CPUs, 167.1 GB RAM, 39.7/235.7 GB disk)
Train 78722 images ,
Val 9387 images , 17793 instances
Test 4588 images