Freiburg-Berkeley Motion Segmentation
The Freiburg-Berkeley Motion Segmentation Dataset (FBMS-59) is an extension of the BMS dataset with 33 additional video sequences. A total of 720 frames is annotated. It has pixel-accurate segmentation annotations of moving objects. FBMS-59 comes with a split into a training set and a test set.
Source: https://lmb.informatik.uni-freiburg.de/resources/datasets/
Image Source: https://lmb.informatik.uni-freiburg.de/resources/datasets/
Variants: FBMS-59, FBMS
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Video Object Segmentation | ours | Multi-Source Fusion and Automatic Predictor … | 2021-08-11 |
| Video Object Segmentation | DFNet | Learning Discriminative Feature with CRF … | 2020-08-04 |
Recent papers with results on this dataset: