Image Segmentation on SA-1B 1.0 (train)
78.3mIoUSAM-H
Evaluation Results
| Method | Links | |
|---|---|---|
| SAM-HParams=641M, MACs=2736G, TrainSet=11M(100%), BatchSize=256, GPUs=256, Iters=90k2023.12 | 78.3 | |
| SAM-LParams=312M, MACs=1315G, TrainSet=11M(100%), BatchSize=128, GPUs=128, Iters=180k2023.12 | 77.67 | |
| SAM-BParams=93M, MACs=372G, TrainSet=11M(100%), BatchSize=128, GPUs=128, Iters=180k2023.12 | 73.37 | |
| SlimSAM-50Params=26M, MACs=98G, TrainSet=10k(0.1%), BatchSize=4, GPUs=1, Iters=100k2023.12 | 72.33 | |
| EfficientSAM-sParams=26M, MACs=94G, TrainSet=12.2M(110%), BatchSize=128, GPUs=64, Iters=450k2023.12 | 71.19 | |
| EfficientSAM-tParams=10M, MACs=28G, TrainSet=12.2M(110%), BatchSize=128, GPUs=64, Iters=450k2023.12 | 69.42 | |
| SlimSAM-77Params=9.1M, MACs=23G, TrainSet=10k(0.1%), BatchSize=4, GPUs=1, Iters=200k2023.12 | 67.4 | |
| EdgeSAMParams=9.6M, MACs=23G, TrainSet=100k(1%), BatchSize=64, GPUs=8, Iters=50k2023.12 | 65.96 | |
| MobileSAMParams=9.8M, MACs=40G, TrainSet=100k(1%), BatchSize=8, GPUs=1, Iters=100k2023.12 | 62.73 | |
| FastSAM-xParams=68M, MACs=330G, TrainSet=220k(2%), BatchSize=32, GPUs=8, Iters=625K2023.12 | 35.41 | |
| FastSAM-sParams=11M, MACs=37G, TrainSet=220k(2%), BatchSize=32, GPUs=8, Iters=625K2023.12 | 30.72 |