Dataset · Hugging Face

EasonXiao-888/SpatialEdit-500K

Name: SpatialEdit-500K
Creator: EasonXiao-888
License: apache-2.0
Keywords: task_categories:image-to-image, license:apache-2.0, size_categories:100K<n<1M, format:webdataset, modality:image, modality:text, library:datasets, library:webdataset, library:mlcroissant, arxiv:2604.04911, region:us

SpatialEdit-500K SpatialEdit-500K is a synthetic training dataset for fine-grained image spatial editing. It is built for learning geometry-aware edits such as object moving, object rotation, and camera viewpoint change. The dataset was introduced in the paper SpatialEdit: Benchmarking Fine-Grained Image Spatial Editing. It is generated with a controllable rendering pipeline to provide structured spatial transformations at scale. Project Resources GitHub Repository:… See the full description on the dataset page: https://huggingface.co/datasets/EasonXiao-888/SpatialEdit-500K.

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Author / organization	EasonXiao-888
License (as declared)	apache-2.0
Downloads	11.1K (as reported by Hugging Face)
Likes	15
Created	5 April 2026
Last updated at source	8 April 2026

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