Sign inGet started
Dataset · Hugging Face

nobg/NC4K

NC4K The NC4K camouflaged-object test set — 4121 images with binary masks, as one test split, which is how the benchmark is published and scored. from datasets import load_dataset ds = load_dataset("nobg/NC4K", split="test") # 4121 rows ds[0]["image"] # PIL, original resolution ds[0]["mask"] # PIL, the binary mask Why this mirror exists NC4K is the largest camouflaged-object test set and is published test-only: every paper that reports it reports it over… See the full description on the dataset page: https://huggingface.co/datasets/nobg/NC4K.

Author / organizationnobg
Downloads176 (as reported by Hugging Face)
Likes0
Created7 August 2026
Last updated at source7 August 2026
camouflaged-object-detectionbackground-removalsalient-object-detection
Embed this entry
<iframe src="https://silytics.si/embed/item/8d8795d7-3727-476f-b60f-1817ec072b7e" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

More from nobg

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.