Dataset · Hugging Face

shunk031/MSCOCO

Name: MSCOCO
Creator: shunk031
License: cc-by-4.0
Keywords: task_categories:image-segmentation, task_categories:object-detection, task_categories:other, task_ids:instance-segmentation, task_ids:semantic-segmentation, task_ids:panoptic-segmentation, annotations_creators:crowdsourced, language_creators:found, multilinguality:monolingual, source_datasets:original, language:en, license:cc-by-4.0, arxiv:1405.0312, region:us, image-captioning

Dataset Card for MSCOCO Dataset Summary COCO is a large-scale object detection, segmentation, and captioning dataset. COCO has several features: Object segmentation Recognition in context Superpixel stuff segmentation 330K images (>200K labeled) 1.5 million object instances 80 object categories 91 stuff categories 5 captions per image 250,000 people with keypoints Supported Tasks and Leaderboards [More Information Needed] Languages… See the full description on the dataset page: https://huggingface.co/datasets/shunk031/MSCOCO.

View on Hugging FaceReport an issue

Author / organization	shunk031
License (as declared)	cc-by-4.0
Downloads	148 (as reported by Hugging Face)
Likes	21
Created	9 September 2023
Last updated at source	16 August 2026

image-captioningobject-detectionkeypoint-detectionstuff-segmentationpanoptic-segmentation

Embed this entry

<iframe src="https://silytics.si/embed/item/6214a754-e865-46b6-be32-a01a22661443" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 2 days

148 now (-17 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

More from shunk031

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.