Dataset · Hugging Face

weiwb/COCO-OLAC

Name: COCO-OLAC
Creator: weiwb
License: cc-by-4.0
Keywords: task_categories:image-classification, task_categories:image-segmentation, license:cc-by-4.0, size_categories:10K<n<100K, arxiv:2409.12760, region:us, coco, occlusion, panoptic-segmentation, icassp-2025, arxiv:2409.12760

COCO-OLAC COCO Occlusion Labels for All Computer Vision Tasks (COCO-OLAC) provides manually annotated, image-level occlusion labels for 35,000 COCO images: 30,000 training images and 5,000 validation images. Each image is labelled low, mid, or high. The dataset was introduced in COCO-OLAC: A Benchmark for Occluded Panoptic Segmentation and Image Understanding (ICASSP 2025). Related resources Research overview: Occlusion-Aware Visual Understanding. Explore the… See the full description on the dataset page: https://huggingface.co/datasets/weiwb/COCO-OLAC.

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Author / organization	weiwb
License (as declared)	cc-by-4.0
Downloads	251 (as reported by Hugging Face)
Likes	0
Created	4 October 2026
Last updated at source	4 October 2026

cocoocclusionpanoptic-segmentationicassp-2025

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