Mask R-CNN (ResNet50)
Reported on 2 benchmarks across 1 task · 1 paper
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Robots2 results
- mAP @0.5:0.95· 2019-04-0182.3best: 84.4 (Mask R-CNN with adaptations for traffic sings and augmentations (ResNet50))
- mAP@0.50· 2019-04-0193best: 95.5 (Mask R-CNN with adaptations for traffic sings and augmentations (ResNet50))