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Benchmarks for “ade20k”

Compare state-of-the-art methods across the tasks and datasets used to measure AI progress.

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TaskDatasetDomainTrendResultsLast update
Instance ClusteringADE20kcomputer vision5Jul 3, 2026
Instance-level patch predictionADE20k (val)computer vision5Jul 3, 2026
Perturbation detection for semantic segmentationADE20K (val)computer visionadversarial safety security5Jun 9, 2026
Semantic SegmentationADE20Kcomputer vision5May 19, 2026
Panoptic SegmentationADE20K 100-50 Aggregatecomputer vision5May 13, 2026
Panoptic SegmentationADE20K 100-50 (Disjoint stream)computer vision5May 13, 2026
Panoptic SegmentationADE20K 100-50 Overlap streamcomputer vision5May 13, 2026
Continual Panoptic SegmentationADE20K 100-10 (Disjoint stream)computer vision5May 13, 2026
Semantic SegmentationADE20K Synthetic in-distribution (val)computer vision5Feb 26, 2026
Semantic SegmentationADE20K 150 standard (val)computer vision5Feb 26, 2026
SegmentationAde20k v1 (test)computer vision5Feb 26, 2026
Universal SegmentationADE20K A-150 (val)computer vision5Feb 26, 2026
Semantic SegmentationADE20K 2526 labels 1/8computer vision5Feb 26, 2026
Semantic SegmentationADE20K 1263 labels (1/16)computer vision5Feb 26, 2026
Semantic SegmentationADE20K 1/32 632 labelscomputer vision5Feb 26, 2026
Panoptic SegmentationADE20K zero-shot (test)computer vision5Feb 26, 2026
Semantic SegmentationADE20K 150 classes (test)computer vision5Feb 26, 2026
Semantic SegmentationADE20K 847 classes (test)computer vision5Feb 26, 2026
Scene ParsingADE20K (test)computer vision5Feb 26, 2026
Panoptic SegmentationADE20K 100-5 protocol (val)computer vision5Feb 26, 2026
Panoptic SegmentationADE20K 100-10 protocol (val)computer vision5Feb 26, 2026
Panoptic SegmentationADE20K 100-50 protocol (val)computer vision5Feb 26, 2026
Panoptic SegmentationADE20K 50-50 setting (val)computer vision5Feb 26, 2026
Semantic SegmentationADE20K 50-50 overlapped (val)computer vision5Feb 26, 2026
Semantic SegmentationADE20K 100-50 overlapped (val)computer vision5Feb 26, 2026