Dataset · Hugging Face

RogerFerrod/GroundSet

Name: GroundSet
Creator: RogerFerrod
License: cc-by-4.0
Keywords: task_categories:visual-question-answering, task_categories:object-detection, task_categories:image-segmentation, task_categories:text-generation, task_categories:zero-shot-image-classification, language:en, license:cc-by-4.0, size_categories:100K<n<1M, modality:image, modality:text, modality:geospatial, library:datasets, arxiv:2603.14609, region:us, image

GroundSet: A Cadastral-Grounded Dataset for Spatial Understanding with Vector Data GroundSet is a large-scale Earth Observation dataset grounded in verifiable cadastral vector data, designed to bridge the gap in fine-grained spatial understanding for modern Multimodal Models. The dataset is built upon high-resolution (20 cm) optical aerial orthophotos and legally verified vector data provided by the French national mapping agency (IGN). It features high semantic richness and… See the full description on the dataset page: https://huggingface.co/datasets/RogerFerrod/GroundSet.

View on Hugging FaceReport an issue

Author / organization	RogerFerrod
License (as declared)	cc-by-4.0
Downloads	2.4K (as reported by Hugging Face)
Likes	9
Created	14 March 2026
Last updated at source	15 September 2026

imagetextgeospatialremote-sensingearth-observationspatial-understandingvision-language-modelcadastralvector-dataaerial-imageryparquetdatasetsgeopandas

Embed this entry

<iframe src="https://silytics.si/embed/item/ad07a718-3ac7-4201-8b28-c884a14486df" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

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 Information may be incomplete or out of date.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.