license:
- other
- cc-by-4.0
- cc-by-2.0
- cc-by-nc-2.0
- cc-by-nc-sa-2.0
configs:
- config_name: lvis
data_files:
- split: train
path: lvis/train-*
- split: validation
path: lvis/validation-*
- config_name: panoptic
data_files:
- split: train
path: panoptic/train-*
- split: validation
path: panoptic/validation-*
source_datasets:
- winvoker/lvis
- srishti-kaushik/COCO-2017
coco-regions
LVIS v1 (1,203 classes) and COCO Panoptic (133), sharing one COCO image cache.
Image licenses remain per-image; NoDerivatives images are excluded from rendered mirrors. Only COCO train2017 images can enter training; evaluation uses the intersection of native annotation validation and COCO val2017. This deliberately excludes conflicting LVIS/COCO image partitions, rather than silently relabeling them. No unlabeled test images are included.
Original data: winvoker/lvis, srishti-kaushik/COCO-2017. Repackaged as parquet for tasksource by scripts/repackage_dataset/regions.py.
Conversion provenance: source revisions, hashes, configuration and exclusions.
Release scope
Bounded samples of the eligible native annotations; full classification ontologies are retained.
- lvis: train: 99,959, validation: 100.
- panoptic: train: 100,000, validation: 100.
See provenance.json for source pins, selection seeds, rendering configuration and exclusions.