Dataset · Hugging Face

sebnae/IndoorCrowd

Name: IndoorCrowd
Creator: sebnae
License: fair-noncommercial-research-license
Keywords: task_categories:object-detection, task_categories:image-segmentation, license:fair-noncommercial-research-license, size_categories:10K<n<100K, format:parquet, modality:image, modality:text, library:datasets, library:dask, library:polars, library:mlcroissant, arxiv:2604.02032, region:us, arxiv:2604.02032

Dataset Card for IndoorCrowd Dataset Summary IndoorCrowd is a multi-scene dataset designed for indoor human detection, instance segmentation, and multi-object tracking. It captures diverse challenges such as viewpoint variation, partial occlusion, and varying crowd density across four distinct campus locations (ACS-EC, ACS-EG, IE-Central, R-Central). Faces are explicitly blurred to preserve privacy, making it suitable for safe research into intelligent crowd… See the full description on the dataset page: https://huggingface.co/datasets/sebnae/IndoorCrowd.

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Author / organization	sebnae
License (as declared)	fair-noncommercial-research-license
Downloads	140 (as reported by Hugging Face)
Likes	7
Created	19 March 2026
Last updated at source	15 May 2026

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