metadata
license: apache-2.0
NICO++ DG Benchmark Subset (Unofficial)
Dataset Summary
This is a non-official subset of the NICO++ dataset, designed for Domain Generalization (DG) evaluation. We select 20 categories across 6 domains.
The dataset can be used to benchmark algorithms for domain generalization, domain adaptation, and robustness testing.
⚠️ Note: This dataset is not the official release of NICO++, but a re-organized subset curated for research purposes.
Supported Tasks and Leaderboards
- Domain Generalization (DG)
- Out-of-Distribution (OOD) Robustness
- Representation Learning with Multiple Contexts
Languages
- Images contain natural objects and scenes; no text annotations.
- Labels are in English.
Dataset Structure
Data Fields
Each sample contains:
image: the input image (RGB)label: the class label (integer)category: the semantic category (string, one of 20)domain: the environment/domain (string, one of 6)
Domains
We follow the DG benchmark setup:
"domains" = ['autumn', 'dim', 'grass', 'outdoor', 'rock', 'water']
Categories
The selected 20 categories are:
"categories" = [
'kangaroo', 'dolphin', 'sailboat', 'pumpkin','gun','sheep','tent','mailbox','cactus','car',
'spider','tortoise','fox','lion','elephant','racket','umbrella','crab','giraffe','chair'
]
Data Splits
The dataset is split into domains rather than standard train/val/test.
- Researchers may adopt leave-one-domain-out DG evaluation, where training uses 5 domains and testing uses the held-out one.
- Example: Train on {autumn, dim, grass, outdoor, rock}, Test on {water}.