Hi! I’m sharing a small HF collection of datasets/benchmarks for instance segmentation under noisy labels (COCO-format):
It contains:
- VIPER (clean): images + clean COCO
instances_*.json
- VIPER-N: noisy COCO instance annotations (annotations-only)
- COCO-N: noisy COCO instance annotations (annotations-only)
All annotations are standard COCO instances JSON, so you can evaluate by swapping instances_{train,val}2017.json paths.
If this is relevant to your project, I’d love any feedback—and if you maintain a benchmark list / eval suite, feel free to include the collection.
Thanks!