ADE20K Dataset
by MIT CSAIL · free · Last verified 2026-03-17
ADE20K is a densely annotated semantic segmentation dataset containing over 27,000 images with pixel-level annotations for 150 semantic categories covering both indoor and outdoor scenes. It is the primary benchmark for scene parsing and semantic segmentation tasks in the computer vision community.
https://ade20k.csail.mit.edu ↗B+
B+—Good
Adoption: AQuality: A+Freshness: BCitations: AEngagement: F
Specifications
- License
- BSD-3-Clause
- Pricing
- free
- Capabilities
- semantic-segmentation, scene-parsing, panoptic-segmentation
- Integrations
- MMSegmentation, detectron2, TensorFlow
- Use Cases
- model-training, benchmark, scene-understanding
- API Available
- No
- Tags
- semantic-segmentation, scene-parsing, scene-understanding, dense-annotation
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
74.2Adoption
85
Quality
91
Freshness
68
Citations
88
Engagement
0
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