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Datasets & Benchmarks

Detection

The standard OV-Det use OV-COCO and OV-LVIS datasets for training and evaluation. The detectors are trained on base classes and test both base and novel classes for evaluation.

Datasets base novel Tasks
COCO OVD 48 17 det.
LVIS OVD 866 337 det.

Segmentation

The OVSS task can be evaluated with different protocols (self-evaluation, cross-evaluation). In general, there is not a consensus on evaluation protocol like OVOD. Please see Sec. 4.2 for details.

Open Vocabulary Semantic Segmentation on self-evaluation setting

Datasets base novel
COCO-Stuff 156 15
PASCAL VOC 15 5
PASCAL Context 49 10

Open Vocabulary Semantic Segmentation on cross-evaluation setting

Datasets base novel
A-847 (ADE20K) - 847
PC-459 (PASCAL Context) - 459
A-150 (ADE20K) - 150
PC-59 (PASCAL Context) - 59
PS-20 (PASCAL VOC) - 20

Open Vocabulary Instance Segmentation

Datasets base novel
COCO-Instances 48 17

Open Vocabulary Instance Segmentation

Datasets base novel
COCO-Instances 48 17

Open Vocabulary Panoptic Segmentation

Datasets base novel
ADE20K 135 15
COCO-Panoptic 156 15