Pipeline
From smartphone capture to neural scene representations
A High-Fidelity Dataset for 3D Reconstruction, Neural Rendering, and Spatial AI
OverMaps-Smartphone is a large-scale, high-fidelity collection of real-world spatial environments captured with consumer mobile devices. Each of the 171,635 scenes contains high-resolution multi-view imagery, metric-scale camera poses from ARKit/ARCore, COLMAP reconstructions, pre-computed 3D Gaussian Splatting models, depth maps, and rich semantic annotations — all processed with privacy-preserving pipelines.
86M+ high-resolution JPEG images with preserved EXIF metadata across 172K diverse real-world scenes.
Precise 4×4 camera-to-world transforms at metric scale via ARKit/ARCore SLAM.
Pre-computed 3DGS models for every scene, ready for immediate novel view synthesis.
Refined sparse and dense geometry with NetVLAD + ALIKED + SuperGlue + pixSfM pipeline.
Scene categories, weather, lighting, crowd density, and per-image captions via Qwen3-VL.
Automated person, vehicle, and license plate detection with YOLOv6 and inpainting masks.
From smartphone capture to neural scene representations
Dataset distribution and annotation insights
Choose the dataset version that suits your research needs
172K scenes / 86M images. Complete dataset with all modalities: images, poses, 3DGS, COLMAP, depth, and annotations.
~672 TB Request Access1,000 curated scenes for quick experiments, benchmarking, and reproducing paper results.
~3,9 TB 🤗 DownloadA companion dataset of real-world scenes captured with 360° cameras for panoramic 3D reconstruction and immersive neural rendering.
TBA Stay TunedIf you use OverMaps-1K in your research, please cite our paper
@misc{OverMaps1k,
author = {OverTheReality},
title = {{OverMaps-1K Dataset}},
howpublished = {Hugging Face Datasets},
url = {https://huggingface.co/datasets/OverTheReality/OverMaps_1k},
year = {2025},
}